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| Collections: | |
| - Name: PSPNet | |
| License: Apache License 2.0 | |
| Metadata: | |
| Training Data: | |
| - Cityscapes | |
| - ADE20K | |
| - Pascal VOC 2012 + Aug | |
| - Pascal Context | |
| - Pascal Context 59 | |
| - Dark Zurich and Nighttime Driving | |
| - COCO-Stuff 10k | |
| - COCO-Stuff 164k | |
| - LoveDA | |
| - Potsdam | |
| - Vaihingen | |
| - iSAID | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| README: configs/pspnet/README.md | |
| Frameworks: | |
| - PyTorch | |
| Models: | |
| - Name: pspnet_r50-d8_4xb2-40k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 77.85 | |
| mIoU(ms+flip): 79.18 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb2-40k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 6.1 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes/pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338-2966598c.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes/pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb2-40k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.34 | |
| mIoU(ms+flip): 79.74 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb2-40k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 9.6 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_40k_cityscapes/pspnet_r101-d8_512x1024_40k_cityscapes_20200604_232751-467e7cf4.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_40k_cityscapes/pspnet_r101-d8_512x1024_40k_cityscapes_20200604_232751.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb2-40k_cityscapes-769x769 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.26 | |
| mIoU(ms+flip): 79.88 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb2-40k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 6.9 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_40k_cityscapes/pspnet_r50-d8_769x769_40k_cityscapes_20200606_112725-86638686.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_40k_cityscapes/pspnet_r50-d8_769x769_40k_cityscapes_20200606_112725.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb2-40k_cityscapes-769x769 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.08 | |
| mIoU(ms+flip): 80.28 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb2-40k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 10.9 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_40k_cityscapes/pspnet_r101-d8_769x769_40k_cityscapes_20200606_112753-61c6f5be.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_40k_cityscapes/pspnet_r101-d8_769x769_40k_cityscapes_20200606_112753.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r18-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 74.87 | |
| mIoU(ms+flip): 76.04 | |
| Config: configs/pspnet/pspnet_r18-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-18-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 1.7 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_512x1024_80k_cityscapes/pspnet_r18-d8_512x1024_80k_cityscapes_20201225_021458-09ffa746.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_512x1024_80k_cityscapes/pspnet_r18-d8_512x1024_80k_cityscapes-20201225_021458.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.55 | |
| mIoU(ms+flip): 79.79 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes/pspnet_r50-d8_512x1024_80k_cityscapes_20200606_112131-2376f12b.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes/pspnet_r50-d8_512x1024_80k_cityscapes_20200606_112131.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8-rsb_4xb2-adamw-80k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.47 | |
| mIoU(ms+flip): 79.45 | |
| Config: configs/pspnet/pspnet_r50-d8-rsb_4xb2-adamw-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50b-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 6.2 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes/pspnet_r50-d8_rsb-pretrain_512x1024_adamw_80k_cityscapes_20220315_123238-588c30be.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes/pspnet_r50-d8_rsb-pretrain_512x1024_adamw_80k_cityscapes_20220315_123238.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.76 | |
| mIoU(ms+flip): 81.01 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_80k_cityscapes/pspnet_r101-d8_512x1024_80k_cityscapes_20200606_112211-e1e1100f.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_80k_cityscapes/pspnet_r101-d8_512x1024_80k_cityscapes_20200606_112211.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb2-amp-80k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.46 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb2-amp-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| - (FP16) | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 5.34 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_fp16_512x1024_80k_cityscapes/pspnet_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230919-a0875e5c.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_fp16_512x1024_80k_cityscapes/pspnet_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230919.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r18-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 75.9 | |
| mIoU(ms+flip): 77.86 | |
| Config: configs/pspnet/pspnet_r18-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-18-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 1.9 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_769x769_80k_cityscapes/pspnet_r18-d8_769x769_80k_cityscapes_20201225_021458-3deefc62.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_769x769_80k_cityscapes/pspnet_r18-d8_769x769_80k_cityscapes-20201225_021458.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.59 | |
| mIoU(ms+flip): 80.69 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_80k_cityscapes/pspnet_r50-d8_769x769_80k_cityscapes_20200606_210121-5ccf03dd.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_80k_cityscapes/pspnet_r50-d8_769x769_80k_cityscapes_20200606_210121.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.77 | |
| mIoU(ms+flip): 81.06 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.oz1z1penmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_80k_cityscapes/pspnet_r101-d8_769x769_80k_cityscapes_20200606_225055-dba412fa.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_80k_cityscapes/pspnet_r101-d8_769x769_80k_cityscapes_20200606_225055.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r18b-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 74.23 | |
| mIoU(ms+flip): 75.79 | |
| Config: configs/pspnet/pspnet_r18b-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-18b-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 1.5 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_512x1024_80k_cityscapes/pspnet_r18b-d8_512x1024_80k_cityscapes_20201226_063116-26928a60.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_512x1024_80k_cityscapes/pspnet_r18b-d8_512x1024_80k_cityscapes-20201226_063116.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50b-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.22 | |
| mIoU(ms+flip): 79.46 | |
| Config: configs/pspnet/pspnet_r50b-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50b-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 6.0 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_512x1024_80k_cityscapes/pspnet_r50b-d8_512x1024_80k_cityscapes_20201225_094315-6344287a.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_512x1024_80k_cityscapes/pspnet_r50b-d8_512x1024_80k_cityscapes-20201225_094315.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101b-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.69 | |
| mIoU(ms+flip): 80.79 | |
| Config: configs/pspnet/pspnet_r101b-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101b-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 9.5 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_512x1024_80k_cityscapes/pspnet_r101b-d8_512x1024_80k_cityscapes_20201226_170012-3a4d38ab.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_512x1024_80k_cityscapes/pspnet_r101b-d8_512x1024_80k_cityscapes-20201226_170012.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r18b-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 74.92 | |
| mIoU(ms+flip): 76.9 | |
| Config: configs/pspnet/pspnet_r18b-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-18b-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 1.7 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_769x769_80k_cityscapes/pspnet_r18b-d8_769x769_80k_cityscapes_20201226_080942-bf98d186.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_769x769_80k_cityscapes/pspnet_r18b-d8_769x769_80k_cityscapes-20201226_080942.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50b-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.5 | |
| mIoU(ms+flip): 79.96 | |
| Config: configs/pspnet/pspnet_r50b-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50b-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 6.8 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_769x769_80k_cityscapes/pspnet_r50b-d8_769x769_80k_cityscapes_20201225_094316-4c643cf6.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_769x769_80k_cityscapes/pspnet_r50b-d8_769x769_80k_cityscapes-20201225_094316.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101b-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.87 | |
| mIoU(ms+flip): 80.04 | |
| Config: configs/pspnet/pspnet_r101b-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101b-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 10.8 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_769x769_80k_cityscapes/pspnet_r101b-d8_769x769_80k_cityscapes_20201226_171823-f0e7c293.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_769x769_80k_cityscapes/pspnet_r101b-d8_769x769_80k_cityscapes-20201226_171823.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50b-d32_4xb2-80k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 73.88 | |
| mIoU(ms+flip): 76.85 | |
| Config: configs/pspnet/pspnet_r50b-d32_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D32 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 3.0 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d32_512x1024_80k_cityscapes/pspnet_r50-d32_512x1024_80k_cityscapes_20220316_224840-9092b254.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d32_512x1024_80k_cityscapes/pspnet_r50-d32_512x1024_80k_cityscapes_20220316_224840.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d32_rsb_4xb2-adamw-80k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 74.09 | |
| mIoU(ms+flip): 77.18 | |
| Config: configs/pspnet/pspnet_r50-d32_rsb_4xb2-adamw-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50b-D32 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 3.1 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d32_rsb-pretrain_512x1024_adamw_80k_cityscapes/pspnet_r50-d32_rsb-pretrain_512x1024_adamw_80k_cityscapes_20220316_141229-dd9c9610.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d32_rsb-pretrain_512x1024_adamw_80k_cityscapes/pspnet_r50-d32_rsb-pretrain_512x1024_adamw_80k_cityscapes_20220316_141229.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50b-d32_4xb2-80k_cityscapes-512x1024 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 72.61 | |
| mIoU(ms+flip): 75.51 | |
| Config: configs/pspnet/pspnet_r50b-d32_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50b-D32 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 2.9 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d32_512x1024_80k_cityscapes/pspnet_r50b-d32_512x1024_80k_cityscapes_20220311_152152-23bcaf8c.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d32_512x1024_80k_cityscapes/pspnet_r50b-d32_512x1024_80k_cityscapes_20220311_152152.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-80k_ade20k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 41.13 | |
| mIoU(ms+flip): 41.94 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 8.5 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_80k_ade20k/pspnet_r50-d8_512x512_80k_ade20k_20200615_014128-15a8b914.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_80k_ade20k/pspnet_r50-d8_512x512_80k_ade20k_20200615_014128.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-80k_ade20k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 43.57 | |
| mIoU(ms+flip): 44.35 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 12.0 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_80k_ade20k/pspnet_r101-d8_512x512_80k_ade20k_20200614_031423-b6e782f0.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_80k_ade20k/pspnet_r101-d8_512x512_80k_ade20k_20200614_031423.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-160k_ade20k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 42.48 | |
| mIoU(ms+flip): 43.44 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-160k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_160k_ade20k/pspnet_r50-d8_512x512_160k_ade20k_20200615_184358-1890b0bd.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_160k_ade20k/pspnet_r50-d8_512x512_160k_ade20k_20200615_184358.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-160k_ade20k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 44.39 | |
| mIoU(ms+flip): 45.35 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-160k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_160k_ade20k/pspnet_r101-d8_512x512_160k_ade20k_20200615_100650-967c316f.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_160k_ade20k/pspnet_r101-d8_512x512_160k_ade20k_20200615_100650.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-20k_voc12aug-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal VOC 2012 + Aug | |
| Metrics: | |
| mIoU: 76.78 | |
| mIoU(ms+flip): 77.61 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-20k_voc12aug-512x512.py | |
| Metadata: | |
| Training Data: Pascal VOC 2012 + Aug | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 6.1 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_20k_voc12aug/pspnet_r50-d8_512x512_20k_voc12aug_20200617_101958-ed5dfbd9.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_20k_voc12aug/pspnet_r50-d8_512x512_20k_voc12aug_20200617_101958.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-20k_voc12aug-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal VOC 2012 + Aug | |
| Metrics: | |
| mIoU: 78.47 | |
| mIoU(ms+flip): 79.25 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-20k_voc12aug-512x512.py | |
| Metadata: | |
| Training Data: Pascal VOC 2012 + Aug | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 9.6 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_20k_voc12aug/pspnet_r101-d8_512x512_20k_voc12aug_20200617_102003-4aef3c9a.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_20k_voc12aug/pspnet_r101-d8_512x512_20k_voc12aug_20200617_102003.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-40k_voc12aug-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal VOC 2012 + Aug | |
| Metrics: | |
| mIoU: 77.29 | |
| mIoU(ms+flip): 78.48 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-40k_voc12aug-512x512.py | |
| Metadata: | |
| Training Data: Pascal VOC 2012 + Aug | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_40k_voc12aug/pspnet_r50-d8_512x512_40k_voc12aug_20200613_161222-ae9c1b8c.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_40k_voc12aug/pspnet_r50-d8_512x512_40k_voc12aug_20200613_161222.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-40k_voc12aug-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal VOC 2012 + Aug | |
| Metrics: | |
| mIoU: 78.52 | |
| mIoU(ms+flip): 79.57 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-40k_voc12aug-512x512.py | |
| Metadata: | |
| Training Data: Pascal VOC 2012 + Aug | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_40k_voc12aug/pspnet_r101-d8_512x512_40k_voc12aug_20200613_161222-bc933b18.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_40k_voc12aug/pspnet_r101-d8_512x512_40k_voc12aug_20200613_161222.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-40k_pascal-context-480x480 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal Context | |
| Metrics: | |
| mIoU: 46.6 | |
| mIoU(ms+flip): 47.78 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-40k_pascal-context-480x480.py | |
| Metadata: | |
| Training Data: Pascal Context | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 8.8 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context/pspnet_r101-d8_480x480_40k_pascal_context_20200911_211210-bf0f5d7c.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context/pspnet_r101-d8_480x480_40k_pascal_context-20200911_211210.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-80k_pascal-context-480x480 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal Context | |
| Metrics: | |
| mIoU: 46.03 | |
| mIoU(ms+flip): 47.15 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_pascal-context-480x480.py | |
| Metadata: | |
| Training Data: Pascal Context | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context/pspnet_r101-d8_480x480_80k_pascal_context_20200911_190530-c86d6233.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context/pspnet_r101-d8_480x480_80k_pascal_context-20200911_190530.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-40k_pascal-context-59-480x480 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal Context 59 | |
| Metrics: | |
| mIoU: 52.02 | |
| mIoU(ms+flip): 53.54 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-40k_pascal-context-59-480x480.py | |
| Metadata: | |
| Training Data: Pascal Context 59 | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context_59/pspnet_r101-d8_480x480_40k_pascal_context_59_20210416_114524-86d44cd4.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context_59/pspnet_r101-d8_480x480_40k_pascal_context_59-20210416_114524.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-80k_pascal-context-59-480x480 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal Context 59 | |
| Metrics: | |
| mIoU: 52.47 | |
| mIoU(ms+flip): 53.99 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_pascal-context-59-480x480.py | |
| Metadata: | |
| Training Data: Pascal Context 59 | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context_59/pspnet_r101-d8_480x480_80k_pascal_context_59_20210416_114418-fa6caaa2.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context_59/pspnet_r101-d8_480x480_80k_pascal_context_59-20210416_114418.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-20k_coco-stuff10k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: COCO-Stuff 10k | |
| Metrics: | |
| mIoU: 35.69 | |
| mIoU(ms+flip): 36.62 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-20k_coco-stuff10k-512x512.py | |
| Metadata: | |
| Training Data: COCO-Stuff 10k | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 9.6 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_20k_coco-stuff10k/pspnet_r50-d8_512x512_4x4_20k_coco-stuff10k_20210820_203258-b88df27f.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_20k_coco-stuff10k/pspnet_r50-d8_512x512_4x4_20k_coco-stuff10k_20210820_203258.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-20k_coco-stuff10k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: COCO-Stuff 10k | |
| Metrics: | |
| mIoU: 37.26 | |
| mIoU(ms+flip): 38.52 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-20k_coco-stuff10k-512x512.py | |
| Metadata: | |
| Training Data: COCO-Stuff 10k | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 13.2 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k/pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k_20210820_232135-76aae482.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k/pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k_20210820_232135.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-40k_coco-stuff10k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: COCO-Stuff 10k | |
| Metrics: | |
| mIoU: 36.33 | |
| mIoU(ms+flip): 37.24 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-40k_coco-stuff10k-512x512.py | |
| Metadata: | |
| Training Data: COCO-Stuff 10k | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_40k_coco-stuff10k/pspnet_r50-d8_512x512_4x4_40k_coco-stuff10k_20210821_030857-92e2902b.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_40k_coco-stuff10k/pspnet_r50-d8_512x512_4x4_40k_coco-stuff10k_20210821_030857.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-40k_coco-stuff10k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: COCO-Stuff 10k | |
| Metrics: | |
| mIoU: 37.76 | |
| mIoU(ms+flip): 38.86 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-40k_coco-stuff10k-512x512.py | |
| Metadata: | |
| Training Data: COCO-Stuff 10k | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k/pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k_20210821_014022-831aec95.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k/pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k_20210821_014022.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-80k_coco-stuff164k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: COCO-Stuff 164k | |
| Metrics: | |
| mIoU: 38.8 | |
| mIoU(ms+flip): 39.19 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_coco-stuff164k-512x512.py | |
| Metadata: | |
| Training Data: COCO-Stuff 164k | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 9.6 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_80k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_80k_coco-stuff164k_20210707_152034-0e41b2db.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_80k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_80k_coco-stuff164k_20210707_152034.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-80k_coco-stuff164k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: COCO-Stuff 164k | |
| Metrics: | |
| mIoU: 40.34 | |
| mIoU(ms+flip): 40.79 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_coco-stuff164k-512x512.py | |
| Metadata: | |
| Training Data: COCO-Stuff 164k | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 13.2 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k_20210707_152034-7eb41789.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k_20210707_152034.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-160k_coco-stuff164k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: COCO-Stuff 164k | |
| Metrics: | |
| mIoU: 39.64 | |
| mIoU(ms+flip): 39.97 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-160k_coco-stuff164k-512x512.py | |
| Metadata: | |
| Training Data: COCO-Stuff 164k | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_160k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_160k_coco-stuff164k_20210707_152004-51276a57.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_160k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_160k_coco-stuff164k_20210707_152004.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-160k_coco-stuff164k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: COCO-Stuff 164k | |
| Metrics: | |
| mIoU: 41.28 | |
| mIoU(ms+flip): 41.66 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-160k_coco-stuff164k-512x512.py | |
| Metadata: | |
| Training Data: COCO-Stuff 164k | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k_20210707_152004-4af9621b.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k_20210707_152004.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-320k_coco-stuff164k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: COCO-Stuff 164k | |
| Metrics: | |
| mIoU: 40.53 | |
| mIoU(ms+flip): 40.75 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-320k_coco-stuff164k-512x512.py | |
| Metadata: | |
| Training Data: COCO-Stuff 164k | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_320k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_320k_coco-stuff164k_20210707_152004-be9610cc.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_320k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_320k_coco-stuff164k_20210707_152004.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-320k_coco-stuff164k-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: COCO-Stuff 164k | |
| Metrics: | |
| mIoU: 41.95 | |
| mIoU(ms+flip): 42.42 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-320k_coco-stuff164k-512x512.py | |
| Metadata: | |
| Training Data: COCO-Stuff 164k | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k_20210707_152004-72220c60.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k_20210707_152004.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r18-d8_4xb4-80k_loveda-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: LoveDA | |
| Metrics: | |
| mIoU: 48.62 | |
| mIoU(ms+flip): 47.57 | |
| Config: configs/pspnet/pspnet_r18-d8_4xb4-80k_loveda-512x512.py | |
| Metadata: | |
| Training Data: LoveDA | |
| Batch Size: 16 | |
| Architecture: | |
| - R-18-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 1.45 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_512x512_80k_loveda/pspnet_r18-d8_512x512_80k_loveda_20211105_052100-b97697f1.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_512x512_80k_loveda/pspnet_r18-d8_512x512_80k_loveda_20211105_052100.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-80k_loveda-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: LoveDA | |
| Metrics: | |
| mIoU: 50.46 | |
| mIoU(ms+flip): 50.19 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_loveda-512x512.py | |
| Metadata: | |
| Training Data: LoveDA | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 6.14 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_80k_loveda/pspnet_r50-d8_512x512_80k_loveda_20211104_155728-88610f9f.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_80k_loveda/pspnet_r50-d8_512x512_80k_loveda_20211104_155728.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-80k_loveda-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: LoveDA | |
| Metrics: | |
| mIoU: 51.86 | |
| mIoU(ms+flip): 51.34 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_loveda-512x512.py | |
| Metadata: | |
| Training Data: LoveDA | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 9.61 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_80k_loveda/pspnet_r101-d8_512x512_80k_loveda_20211104_153212-1c06c6a8.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_80k_loveda/pspnet_r101-d8_512x512_80k_loveda_20211104_153212.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r18-d8_4xb4-80k_potsdam-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Potsdam | |
| Metrics: | |
| mIoU: 77.09 | |
| mIoU(ms+flip): 78.3 | |
| Config: configs/pspnet/pspnet_r18-d8_4xb4-80k_potsdam-512x512.py | |
| Metadata: | |
| Training Data: Potsdam | |
| Batch Size: 16 | |
| Architecture: | |
| - R-18-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 1.5 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_512x512_80k_potsdam/pspnet_r18-d8_4x4_512x512_80k_potsdam_20211220_125612-7cd046e1.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_512x512_80k_potsdam/pspnet_r18-d8_4x4_512x512_80k_potsdam_20211220_125612.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-80k_potsdam-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Potsdam | |
| Metrics: | |
| mIoU: 78.12 | |
| mIoU(ms+flip): 78.98 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_potsdam-512x512.py | |
| Metadata: | |
| Training Data: Potsdam | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 6.14 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_512x512_80k_potsdam/pspnet_r50-d8_4x4_512x512_80k_potsdam_20211219_043541-2dd5fe67.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_512x512_80k_potsdam/pspnet_r50-d8_4x4_512x512_80k_potsdam_20211219_043541.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-80k_potsdam-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Potsdam | |
| Metrics: | |
| mIoU: 78.62 | |
| mIoU(ms+flip): 79.47 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_potsdam-512x512.py | |
| Metadata: | |
| Training Data: Potsdam | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 9.61 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_4x4_512x512_80k_potsdam/pspnet_r101-d8_4x4_512x512_80k_potsdam_20211220_125612-aed036c4.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_4x4_512x512_80k_potsdam/pspnet_r101-d8_4x4_512x512_80k_potsdam_20211220_125612.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r18-d8_4xb4-80k_vaihingen-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Vaihingen | |
| Metrics: | |
| mIoU: 71.46 | |
| mIoU(ms+flip): 73.36 | |
| Config: configs/pspnet/pspnet_r18-d8_4xb4-80k_vaihingen-512x512.py | |
| Metadata: | |
| Training Data: Vaihingen | |
| Batch Size: 16 | |
| Architecture: | |
| - R-18-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 1.45 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_512x512_80k_vaihingen/pspnet_r18-d8_4x4_512x512_80k_vaihingen_20211228_160355-52a8a6f6.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_512x512_80k_vaihingen/pspnet_r18-d8_4x4_512x512_80k_vaihingen_20211228_160355.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-80k_vaihingen-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Vaihingen | |
| Metrics: | |
| mIoU: 72.36 | |
| mIoU(ms+flip): 73.75 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_vaihingen-512x512.py | |
| Metadata: | |
| Training Data: Vaihingen | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 6.14 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_512x512_80k_vaihingen/pspnet_r50-d8_4x4_512x512_80k_vaihingen_20211228_160355-382f8f5b.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_512x512_80k_vaihingen/pspnet_r50-d8_4x4_512x512_80k_vaihingen_20211228_160355.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r101-d8_4xb4-80k_vaihingen-512x512 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Vaihingen | |
| Metrics: | |
| mIoU: 72.61 | |
| mIoU(ms+flip): 74.18 | |
| Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_vaihingen-512x512.py | |
| Metadata: | |
| Training Data: Vaihingen | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 9.61 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_4x4_512x512_80k_vaihingen/pspnet_r101-d8_4x4_512x512_80k_vaihingen_20211231_230806-8eba0a09.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_4x4_512x512_80k_vaihingen/pspnet_r101-d8_4x4_512x512_80k_vaihingen_20211231_230806.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r18-d8_4xb4-80k_isaid-896x896 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: iSAID | |
| Metrics: | |
| mIoU: 60.22 | |
| mIoU(ms+flip): 61.25 | |
| Config: configs/pspnet/pspnet_r18-d8_4xb4-80k_isaid-896x896.py | |
| Metadata: | |
| Training Data: iSAID | |
| Batch Size: 16 | |
| Architecture: | |
| - R-18-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 4.52 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_896x896_80k_isaid/pspnet_r18-d8_4x4_896x896_80k_isaid_20220110_180526-e84c0b6a.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_896x896_80k_isaid/pspnet_r18-d8_4x4_896x896_80k_isaid_20220110_180526.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |
| - Name: pspnet_r50-d8_4xb4-80k_isaid-896x896 | |
| In Collection: PSPNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: iSAID | |
| Metrics: | |
| mIoU: 65.36 | |
| mIoU(ms+flip): 66.48 | |
| Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_isaid-896x896.py | |
| Metadata: | |
| Training Data: iSAID | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - PSPNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 16.58 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_896x896_80k_isaid/pspnet_r50-d8_4x4_896x896_80k_isaid_20220110_180629-1f21dc32.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_896x896_80k_isaid/pspnet_r50-d8_4x4_896x896_80k_isaid_20220110_180629.log.json | |
| Paper: | |
| Title: Pyramid Scene Parsing Network | |
| URL: https://arxiv.org/abs/1612.01105 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63 | |
| Framework: PyTorch | |