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| Collections: | |
| - Name: CGNet | |
| License: Apache License 2.0 | |
| Metadata: | |
| Training Data: | |
| - Cityscapes | |
| Paper: | |
| Title: 'CGNet: A Light-weight Context Guided Network for Semantic Segmentation' | |
| URL: https://arxiv.org/abs/1811.08201 | |
| README: configs/cgnet/README.md | |
| Frameworks: | |
| - PyTorch | |
| Models: | |
| - Name: cgnet_fcn_4xb4-60k_cityscapes-680x680 | |
| In Collection: CGNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 65.63 | |
| mIoU(ms+flip): 68.04 | |
| Config: configs/cgnet/cgnet_fcn_4xb4-60k_cityscapes-680x680.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 16 | |
| Architecture: | |
| - M3N21 | |
| - CGNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 7.5 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_680x680_60k_cityscapes/cgnet_680x680_60k_cityscapes_20201101_110253-4c0b2f2d.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_680x680_60k_cityscapes/cgnet_680x680_60k_cityscapes-20201101_110253.log.json | |
| Paper: | |
| Title: 'CGNet: A Light-weight Context Guided Network for Semantic Segmentation' | |
| URL: https://arxiv.org/abs/1811.08201 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/backbones/cgnet.py#L187 | |
| Framework: PyTorch | |
| - Name: cgnet_fcn_4xb8-60k_cityscapes-512x1024 | |
| In Collection: CGNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 68.27 | |
| mIoU(ms+flip): 70.33 | |
| Config: configs/cgnet/cgnet_fcn_4xb8-60k_cityscapes-512x1024.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 32 | |
| Architecture: | |
| - M3N21 | |
| - CGNet | |
| Training Resources: 4x V100 GPUS | |
| Memory (GB): 8.3 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_512x1024_60k_cityscapes/cgnet_512x1024_60k_cityscapes_20201101_110254-124ea03b.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_512x1024_60k_cityscapes/cgnet_512x1024_60k_cityscapes-20201101_110254.log.json | |
| Paper: | |
| Title: 'CGNet: A Light-weight Context Guided Network for Semantic Segmentation' | |
| URL: https://arxiv.org/abs/1811.08201 | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/backbones/cgnet.py#L187 | |
| Framework: PyTorch | |