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| Collections: | |
| - Name: DNLNet | |
| License: Apache License 2.0 | |
| Metadata: | |
| Training Data: | |
| - Cityscapes | |
| - ADE20K | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| README: configs/dnlnet/README.md | |
| Frameworks: | |
| - PyTorch | |
| Models: | |
| - Name: dnl_r50-d8_4xb2-40k_cityscapes-512x1024 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.61 | |
| Config: configs/dnlnet/dnl_r50-d8_4xb2-40k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 7.3 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_512x1024_40k_cityscapes/dnl_r50-d8_512x1024_40k_cityscapes_20200904_233629-53d4ea93.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_512x1024_40k_cityscapes/dnl_r50-d8_512x1024_40k_cityscapes-20200904_233629.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |
| - Name: dnl_r101-d8_4xb2-40k_cityscapes-512x1024 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.31 | |
| Config: configs/dnlnet/dnl_r101-d8_4xb2-40k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 10.9 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_512x1024_40k_cityscapes/dnl_r101-d8_512x1024_40k_cityscapes_20200904_233629-9928ffef.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_512x1024_40k_cityscapes/dnl_r101-d8_512x1024_40k_cityscapes-20200904_233629.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |
| - Name: dnl_r50-d8_4xb2-40k_cityscapes-769x769 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.44 | |
| mIoU(ms+flip): 80.27 | |
| Config: configs/dnlnet/dnl_r50-d8_4xb2-40k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 9.2 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_769x769_40k_cityscapes/dnl_r50-d8_769x769_40k_cityscapes_20200820_232206-0f283785.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_769x769_40k_cityscapes/dnl_r50-d8_769x769_40k_cityscapes-20200820_232206.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |
| - Name: dnl_r101-d8_4xb2-40k_cityscapes-769x769 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 76.39 | |
| mIoU(ms+flip): 77.77 | |
| Config: configs/dnlnet/dnl_r101-d8_4xb2-40k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 12.6 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_769x769_40k_cityscapes/dnl_r101-d8_769x769_40k_cityscapes_20200820_171256-76c596df.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_769x769_40k_cityscapes/dnl_r101-d8_769x769_40k_cityscapes-20200820_171256.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |
| - Name: dnl_r50-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.33 | |
| Config: configs/dnlnet/dnl_r50-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_512x1024_80k_cityscapes/dnl_r50-d8_512x1024_80k_cityscapes_20200904_233629-58b2f778.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_512x1024_80k_cityscapes/dnl_r50-d8_512x1024_80k_cityscapes-20200904_233629.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |
| - Name: dnl_r101-d8_4xb2-80k_cityscapes-512x1024 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 80.41 | |
| Config: configs/dnlnet/dnl_r101-d8_4xb2-80k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_512x1024_80k_cityscapes/dnl_r101-d8_512x1024_80k_cityscapes_20200904_233629-758e2dd4.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_512x1024_80k_cityscapes/dnl_r101-d8_512x1024_80k_cityscapes-20200904_233629.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |
| - Name: dnl_r50-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.36 | |
| mIoU(ms+flip): 80.7 | |
| Config: configs/dnlnet/dnl_r50-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-50-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_769x769_80k_cityscapes/dnl_r50-d8_769x769_80k_cityscapes_20200820_011925-366bc4c7.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_769x769_80k_cityscapes/dnl_r50-d8_769x769_80k_cityscapes-20200820_011925.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |
| - Name: dnl_r101-d8_4xb2-80k_cityscapes-769x769 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 79.41 | |
| mIoU(ms+flip): 80.68 | |
| Config: configs/dnlnet/dnl_r101-d8_4xb2-80k_cityscapes-769x769.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 8 | |
| Architecture: | |
| - R-101-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_769x769_80k_cityscapes/dnl_r101-d8_769x769_80k_cityscapes_20200821_051111-95ff84ab.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_769x769_80k_cityscapes/dnl_r101-d8_769x769_80k_cityscapes-20200821_051111.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |
| - Name: dnl_r50-d8_4xb4-80k_ade20k-512x512 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 41.76 | |
| mIoU(ms+flip): 42.99 | |
| Config: configs/dnlnet/dnl_r50-d8_4xb4-80k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 8.8 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_512x512_80k_ade20k/dnl_r50-d8_512x512_80k_ade20k_20200826_183354-1cf6e0c1.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_512x512_80k_ade20k/dnl_r50-d8_512x512_80k_ade20k-20200826_183354.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |
| - Name: dnl_r101-d8_4xb4-80k_ade20k-512x512 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 43.76 | |
| mIoU(ms+flip): 44.91 | |
| Config: configs/dnlnet/dnl_r101-d8_4xb4-80k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 12.8 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_512x512_80k_ade20k/dnl_r101-d8_512x512_80k_ade20k_20200826_183354-d820d6ea.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_512x512_80k_ade20k/dnl_r101-d8_512x512_80k_ade20k-20200826_183354.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |
| - Name: dnl_r50-d8_4xb4-160k_ade20k-512x512 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 41.87 | |
| mIoU(ms+flip): 43.01 | |
| Config: configs/dnlnet/dnl_r50-d8_4xb4-160k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-50-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_512x512_160k_ade20k/dnl_r50-d8_512x512_160k_ade20k_20200826_183350-37837798.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r50-d8_512x512_160k_ade20k/dnl_r50-d8_512x512_160k_ade20k-20200826_183350.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |
| - Name: dnl_r101-d8_4xb4-160k_ade20k-512x512 | |
| In Collection: DNLNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 44.25 | |
| mIoU(ms+flip): 45.78 | |
| Config: configs/dnlnet/dnl_r101-d8_4xb4-160k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 16 | |
| Architecture: | |
| - R-101-D8 | |
| - DNLNet | |
| Training Resources: 4x V100 GPUS | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_512x512_160k_ade20k/dnl_r101-d8_512x512_160k_ade20k_20200826_183350-ed522c61.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dnlnet/dnl_r101-d8_512x512_160k_ade20k/dnl_r101-d8_512x512_160k_ade20k-20200826_183350.log.json | |
| Paper: | |
| Title: Disentangled Non-Local Neural Networks | |
| URL: https://arxiv.org/abs/2006.06668 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dnl_head.py#L88 | |
| Framework: PyTorch | |