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