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| Collections: | |
| - Name: DeepLabV3+ | |
| License: Apache License 2.0 | |
| Metadata: | |
| Training Data: | |
| - Cityscapes | |
| - ADE20K | |
| - Pascal VOC 2012 + Aug | |
| - Pascal Context | |
| - Pascal Context 59 | |
| - LoveDA | |
| - Potsdam | |
| - Vaihingen | |
| - iSAID | |
| - Mapillary Vistas v1.2 | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| README: configs/deeplabv3plus/README.md | |
| Frameworks: | |
| - PyTorch | |
| Models: | |
| - Name: deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.61 | |
| mIoU(ms+flip): 81.01 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 7.5 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes/deeplabv3plus_r50-d8_512x1024_40k_cityscapes_20200605_094610-d222ffcd.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes/deeplabv3plus_r50-d8_512x1024_40k_cityscapes_20200605_094610.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb2-40k_cityscapes-512x1024 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 80.21 | |
| mIoU(ms+flip): 81.82 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-40k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 11.0 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_40k_cityscapes/deeplabv3plus_r101-d8_512x1024_40k_cityscapes_20200605_094614-3769eecf.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_40k_cityscapes/deeplabv3plus_r101-d8_512x1024_40k_cityscapes_20200605_094614.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb2-40k_cityscapes-769x769 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.97 | |
| mIoU(ms+flip): 80.46 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-40k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 8.5 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_40k_cityscapes/deeplabv3plus_r50-d8_769x769_40k_cityscapes_20200606_114143-1dcb0e3c.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_40k_cityscapes/deeplabv3plus_r50-d8_769x769_40k_cityscapes_20200606_114143.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb2-40k_cityscapes-769x769 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.46 | |
| mIoU(ms+flip): 80.5 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-40k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 12.5 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_40k_cityscapes/deeplabv3plus_r101-d8_769x769_40k_cityscapes_20200606_114304-ff414b9e.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_40k_cityscapes/deeplabv3plus_r101-d8_769x769_40k_cityscapes_20200606_114304.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r18-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 76.89 | |
| mIoU(ms+flip): 78.76 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-18-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 2.2 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x1024_80k_cityscapes/deeplabv3plus_r18-d8_512x1024_80k_cityscapes_20201226_080942-cff257fe.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x1024_80k_cityscapes/deeplabv3plus_r18-d8_512x1024_80k_cityscapes-20201226_080942.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 80.09 | |
| mIoU(ms+flip): 81.13 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_80k_cityscapes/deeplabv3plus_r50-d8_512x1024_80k_cityscapes_20200606_114049-f9fb496d.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_80k_cityscapes/deeplabv3plus_r50-d8_512x1024_80k_cityscapes_20200606_114049.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 80.97 | |
| mIoU(ms+flip): 82.03 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_512x1024_80k_cityscapes_20200606_114143-068fcfe9.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_512x1024_80k_cityscapes_20200606_114143.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb2-amp-80k_cityscapes-512x1024 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 80.46 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-amp-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| - (FP16) | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 6.35 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230920-f1104f4b.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230920.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r18-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 76.26 | |
| mIoU(ms+flip): 77.91 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-18-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 2.5 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_769x769_80k_cityscapes/deeplabv3plus_r18-d8_769x769_80k_cityscapes_20201226_083346-f326e06a.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_769x769_80k_cityscapes/deeplabv3plus_r18-d8_769x769_80k_cityscapes-20201226_083346.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.83 | |
| mIoU(ms+flip): 81.48 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_80k_cityscapes/deeplabv3plus_r50-d8_769x769_80k_cityscapes_20200606_210233-0e9dfdc4.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_80k_cityscapes/deeplabv3plus_r50-d8_769x769_80k_cityscapes_20200606_210233.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 80.65 | |
| mIoU(ms+flip): 81.47 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes/deeplabv3plus_r101-d8_769x769_80k_cityscapes_20220406_154720-dfcc0b68.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes/deeplabv3plus_r101-d8_769x769_80k_cityscapes_20220406_154720.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: ddeeplabv3plus_r101-d16-mg124_4xb2-40k_cityscapes-512x1024 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.09 | |
| mIoU(ms+flip): 80.36 | |
| Config: configs/deeplabv3plus/ddeeplabv3plus_r101-d16-mg124_4xb2-40k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D16-MG124 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 5.8 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes_20200908_005644-cf9ce186.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes-20200908_005644.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d16-mg124_4xb2-80k_cityscapes-512x1024 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.9 | |
| mIoU(ms+flip): 81.33 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d16-mg124_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D16-MG124 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 9.9 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes_20200908_005644-ee6158e0.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes-20200908_005644.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 75.87 | |
| mIoU(ms+flip): 77.52 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-18b-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 2.1 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes_20201226_090828-e451abd9.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes-20201226_090828.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 80.28 | |
| mIoU(ms+flip): 81.44 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50b-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 7.4 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes_20201225_213645-a97e4e43.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes-20201225_213645.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 80.16 | |
| mIoU(ms+flip): 81.41 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101b-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 10.9 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes_20201226_190843-9c3c93a4.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes-20201226_190843.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 76.36 | |
| mIoU(ms+flip): 78.24 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-18b-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 2.4 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_769x769_80k_cityscapes/deeplabv3plus_r18b-d8_769x769_80k_cityscapes_20201226_151312-2c868aff.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_769x769_80k_cityscapes/deeplabv3plus_r18b-d8_769x769_80k_cityscapes-20201226_151312.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.41 | |
| mIoU(ms+flip): 80.56 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50b-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 8.4 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_769x769_80k_cityscapes/deeplabv3plus_r50b-d8_769x769_80k_cityscapes_20201225_224655-8b596d1c.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_769x769_80k_cityscapes/deeplabv3plus_r50b-d8_769x769_80k_cityscapes-20201225_224655.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.88 | |
| mIoU(ms+flip): 81.46 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101b-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 12.3 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_769x769_80k_cityscapes/deeplabv3plus_r101b-d8_769x769_80k_cityscapes_20201226_205041-227cdf7c.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_769x769_80k_cityscapes/deeplabv3plus_r101b-d8_769x769_80k_cityscapes-20201226_205041.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb4-80k_ade20k-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 42.72 | |
| mIoU(ms+flip): 43.75 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 10.6 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_ade20k/deeplabv3plus_r50-d8_512x512_80k_ade20k_20200614_185028-bf1400d8.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_ade20k/deeplabv3plus_r50-d8_512x512_80k_ade20k_20200614_185028.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 44.6 | |
| mIoU(ms+flip): 46.06 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 14.1 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_ade20k/deeplabv3plus_r101-d8_512x512_80k_ade20k_20200615_014139-d5730af7.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_ade20k/deeplabv3plus_r101-d8_512x512_80k_ade20k_20200615_014139.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb4-160k_ade20k-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 43.95 | |
| mIoU(ms+flip): 44.93 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-160k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_160k_ade20k/deeplabv3plus_r50-d8_512x512_160k_ade20k_20200615_124504-6135c7e0.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_160k_ade20k/deeplabv3plus_r50-d8_512x512_160k_ade20k_20200615_124504.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 45.47 | |
| mIoU(ms+flip): 46.35 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_160k_ade20k/deeplabv3plus_r101-d8_512x512_160k_ade20k_20200615_123232-38ed86bb.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_160k_ade20k/deeplabv3plus_r101-d8_512x512_160k_ade20k_20200615_123232.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb4-20k_voc12aug-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal VOC 2012 + Aug | |
| Metrics: | |
| mIoU: 75.93 | |
| mIoU(ms+flip): 77.5 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-20k_voc12aug-512x512.py | |
| Metadata: | |
| Training Data: Pascal VOC 2012 + Aug | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 7.6 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_20k_voc12aug/deeplabv3plus_r50-d8_512x512_20k_voc12aug_20200617_102323-aad58ef1.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_20k_voc12aug/deeplabv3plus_r50-d8_512x512_20k_voc12aug_20200617_102323.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb4-20k_voc12aug-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal VOC 2012 + Aug | |
| Metrics: | |
| mIoU: 77.22 | |
| mIoU(ms+flip): 78.59 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-20k_voc12aug-512x512.py | |
| Metadata: | |
| Training Data: Pascal VOC 2012 + Aug | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 11.0 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_20k_voc12aug/deeplabv3plus_r101-d8_512x512_20k_voc12aug_20200617_102345-c7ff3d56.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_20k_voc12aug/deeplabv3plus_r101-d8_512x512_20k_voc12aug_20200617_102345.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb4-40k_voc12aug-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal VOC 2012 + Aug | |
| Metrics: | |
| mIoU: 76.81 | |
| mIoU(ms+flip): 77.57 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-40k_voc12aug-512x512.py | |
| Metadata: | |
| Training Data: Pascal VOC 2012 + Aug | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_40k_voc12aug/deeplabv3plus_r50-d8_512x512_40k_voc12aug_20200613_161759-e1b43aa9.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_40k_voc12aug/deeplabv3plus_r50-d8_512x512_40k_voc12aug_20200613_161759.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb4-40k_voc12aug-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal VOC 2012 + Aug | |
| Metrics: | |
| mIoU: 78.62 | |
| mIoU(ms+flip): 79.53 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-40k_voc12aug-512x512.py | |
| Metadata: | |
| Training Data: Pascal VOC 2012 + Aug | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_40k_voc12aug/deeplabv3plus_r101-d8_512x512_40k_voc12aug_20200613_205333-faf03387.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_40k_voc12aug/deeplabv3plus_r101-d8_512x512_40k_voc12aug_20200613_205333.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb4-40k_pascal-context-480x480 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal Context | |
| Metrics: | |
| mIoU: 47.3 | |
| mIoU(ms+flip): 48.47 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-40k_pascal-context-480x480.py | |
| Metadata: | |
| Training Data: Pascal Context | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context/deeplabv3plus_r101-d8_480x480_40k_pascal_context_20200911_165459-d3c8a29e.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context/deeplabv3plus_r101-d8_480x480_40k_pascal_context-20200911_165459.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb4-80k_pascal-context-480x480 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal Context | |
| Metrics: | |
| mIoU: 47.23 | |
| mIoU(ms+flip): 48.26 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_pascal-context-480x480.py | |
| Metadata: | |
| Training Data: Pascal Context | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context/deeplabv3plus_r101-d8_480x480_80k_pascal_context_20200911_155322-145d3ee8.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context/deeplabv3plus_r101-d8_480x480_80k_pascal_context-20200911_155322.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb4-40k_pascal-context-59-480x480 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal Context 59 | |
| Metrics: | |
| mIoU: 52.86 | |
| mIoU(ms+flip): 54.54 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-40k_pascal-context-59-480x480.py | |
| Metadata: | |
| Training Data: Pascal Context 59 | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59_20210416_111233-ed937f15.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59-20210416_111233.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb4-80k_pascal-context-59-480x480 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Pascal Context 59 | |
| Metrics: | |
| mIoU: 53.2 | |
| mIoU(ms+flip): 54.67 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_pascal-context-59-480x480.py | |
| Metadata: | |
| Training Data: Pascal Context 59 | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59_20210416_111127-7ca0331d.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59-20210416_111127.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r18-d8_4xb4-80k_loveda-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: LoveDA | |
| Metrics: | |
| mIoU: 50.28 | |
| mIoU(ms+flip): 50.47 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_loveda-512x512.py | |
| Metadata: | |
| Training Data: LoveDA | |
| Batch Size: 16 | |
| Architecture: | |
| - R-18-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 1.93 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_loveda/deeplabv3plus_r18-d8_512x512_80k_loveda_20211104_132800-ce0fa0ca.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_loveda/deeplabv3plus_r18-d8_512x512_80k_loveda_20211104_132800.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb4-80k_loveda-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: LoveDA | |
| Metrics: | |
| mIoU: 50.99 | |
| mIoU(ms+flip): 50.65 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_loveda-512x512.py | |
| Metadata: | |
| Training Data: LoveDA | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 7.37 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_loveda/deeplabv3plus_r50-d8_512x512_80k_loveda_20211105_080442-f0720392.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_loveda/deeplabv3plus_r50-d8_512x512_80k_loveda_20211105_080442.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb4-80k_loveda-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: LoveDA | |
| Metrics: | |
| mIoU: 51.47 | |
| mIoU(ms+flip): 51.32 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_loveda-512x512.py | |
| Metadata: | |
| Training Data: LoveDA | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 10.84 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_loveda/deeplabv3plus_r101-d8_512x512_80k_loveda_20211105_110759-4c1f297e.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_loveda/deeplabv3plus_r101-d8_512x512_80k_loveda_20211105_110759.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r18-d8_4xb4-80k_potsdam-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Potsdam | |
| Metrics: | |
| mIoU: 77.09 | |
| mIoU(ms+flip): 78.44 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_potsdam-512x512.py | |
| Metadata: | |
| Training Data: Potsdam | |
| Batch Size: 16 | |
| Architecture: | |
| - R-18-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 1.91 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_potsdam/deeplabv3plus_r18-d8_512x512_80k_potsdam_20211219_020601-75fd5bc3.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_potsdam/deeplabv3plus_r18-d8_512x512_80k_potsdam_20211219_020601.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb4-80k_potsdam-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Potsdam | |
| Metrics: | |
| mIoU: 78.33 | |
| mIoU(ms+flip): 79.27 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_potsdam-512x512.py | |
| Metadata: | |
| Training Data: Potsdam | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 7.36 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_potsdam/deeplabv3plus_r50-d8_512x512_80k_potsdam_20211219_031508-7e7a2b24.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_potsdam/deeplabv3plus_r50-d8_512x512_80k_potsdam_20211219_031508.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb4-80k_potsdam-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Potsdam | |
| Metrics: | |
| mIoU: 78.7 | |
| mIoU(ms+flip): 79.47 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_potsdam-512x512.py | |
| Metadata: | |
| Training Data: Potsdam | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 10.83 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_potsdam/deeplabv3plus_r101-d8_512x512_80k_potsdam_20211219_031508-8b112708.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_potsdam/deeplabv3plus_r101-d8_512x512_80k_potsdam_20211219_031508.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r18-d8_4xb4-80k_vaihingen-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Vaihingen | |
| Metrics: | |
| mIoU: 72.5 | |
| mIoU(ms+flip): 74.13 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_vaihingen-512x512.py | |
| Metadata: | |
| Training Data: Vaihingen | |
| Batch Size: 16 | |
| Architecture: | |
| - R-18-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 1.91 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen_20211231_230805-7626a263.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen_20211231_230805.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb4-80k_vaihingen-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Vaihingen | |
| Metrics: | |
| mIoU: 73.97 | |
| mIoU(ms+flip): 75.05 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_vaihingen-512x512.py | |
| Metadata: | |
| Training Data: Vaihingen | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 7.36 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen_20211231_230816-5040938d.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen_20211231_230816.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r101-d8_4xb4-80k_vaihingen-512x512 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Vaihingen | |
| Metrics: | |
| mIoU: 73.06 | |
| mIoU(ms+flip): 74.14 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_vaihingen-512x512.py | |
| Metadata: | |
| Training Data: Vaihingen | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 10.83 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen_20211231_230816-8a095afa.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen_20211231_230816.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r18-d8_4xb4-80k_isaid-896x896 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: iSAID | |
| Metrics: | |
| mIoU: 61.35 | |
| mIoU(ms+flip): 62.61 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_isaid-896x896.py | |
| Metadata: | |
| Training Data: iSAID | |
| Batch Size: 16 | |
| Architecture: | |
| - R-18-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 6.19 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid_20220110_180526-7059991d.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid_20220110_180526.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb4-80k_isaid-896x896 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: iSAID | |
| Metrics: | |
| mIoU: 67.06 | |
| mIoU(ms+flip): 68.02 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_isaid-896x896.py | |
| Metadata: | |
| Training Data: iSAID | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 21.45 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid_20220110_180526-598be439.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid_20220110_180526.log.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |
| - Name: deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280 | |
| In Collection: DeepLabV3+ | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Mapillary Vistas v1.2 | |
| Metrics: | |
| mIoU: 47.35 | |
| Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280.py | |
| Metadata: | |
| Training Data: Mapillary Vistas v1.2 | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - DeepLabV3+ | |
| Training Resources: 4x A100 GPUS | |
| Memory (GB): 24.04 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280_20230301_110504-655f8e43.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280_20230301_110504.json | |
| Paper: | |
| Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |
| URL: https://arxiv.org/abs/1802.02611 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 | |
| Framework: PyTorch | |