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Collections: | |
- Name: STDC | |
License: Apache License 2.0 | |
Metadata: | |
Training Data: | |
- Cityscapes | |
Paper: | |
Title: Rethinking BiSeNet For Real-time Semantic Segmentation | |
URL: https://arxiv.org/abs/2104.13188 | |
README: configs/stdc/README.md | |
Frameworks: | |
- PyTorch | |
Models: | |
- Name: stdc1_4xb12-80k_cityscapes-512x1024 | |
In Collection: STDC | |
Results: | |
Task: Semantic Segmentation | |
Dataset: Cityscapes | |
Metrics: | |
mIoU: 71.82 | |
mIoU(ms+flip): 73.89 | |
Config: configs/stdc/stdc1_4xb12-80k_cityscapes-512x1024.py | |
Metadata: | |
Training Data: Cityscapes | |
Batch Size: 48 | |
Architecture: | |
- STDC1 | |
- STDC | |
Training Resources: 4x V100 GPUS | |
Memory (GB): 7.15 | |
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc1_512x1024_80k_cityscapes/stdc1_512x1024_80k_cityscapes_20220224_073048-74e6920a.pth | |
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc1_512x1024_80k_cityscapes/stdc1_512x1024_80k_cityscapes_20220224_073048.log.json | |
Paper: | |
Title: Rethinking BiSeNet For Real-time Semantic Segmentation | |
URL: https://arxiv.org/abs/2104.13188 | |
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.20.0/mmseg/models/backbones/stdc.py#L394 | |
Framework: PyTorch | |
- Name: stdc1_in1k-pre_4xb12-80k_cityscapes-512x1024 | |
In Collection: STDC | |
Results: | |
Task: Semantic Segmentation | |
Dataset: Cityscapes | |
Metrics: | |
mIoU: 74.94 | |
mIoU(ms+flip): 76.97 | |
Config: configs/stdc/stdc1_in1k-pre_4xb12-80k_cityscapes-512x1024.py | |
Metadata: | |
Training Data: Cityscapes | |
Batch Size: 48 | |
Architecture: | |
- STDC1 | |
- STDC | |
Training Resources: 4x V100 GPUS | |
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc1_in1k-pre_512x1024_80k_cityscapes/stdc1_in1k-pre_512x1024_80k_cityscapes_20220224_141648-3d4c2981.pth | |
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc1_in1k-pre_512x1024_80k_cityscapes/stdc1_in1k-pre_512x1024_80k_cityscapes_20220224_141648.log.json | |
Paper: | |
Title: Rethinking BiSeNet For Real-time Semantic Segmentation | |
URL: https://arxiv.org/abs/2104.13188 | |
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.20.0/mmseg/models/backbones/stdc.py#L394 | |
Framework: PyTorch | |
- Name: stdc2_4xb12-80k_cityscapes-512x1024 | |
In Collection: STDC | |
Results: | |
Task: Semantic Segmentation | |
Dataset: Cityscapes | |
Metrics: | |
mIoU: 73.15 | |
mIoU(ms+flip): 76.13 | |
Config: configs/stdc/stdc2_4xb12-80k_cityscapes-512x1024.py | |
Metadata: | |
Training Data: Cityscapes | |
Batch Size: 48 | |
Architecture: | |
- STDC2 | |
- STDC | |
Training Resources: 4x V100 GPUS | |
Memory (GB): 8.27 | |
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc2_512x1024_80k_cityscapes/stdc2_512x1024_80k_cityscapes_20220222_132015-fb1e3a1a.pth | |
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc2_512x1024_80k_cityscapes/stdc2_512x1024_80k_cityscapes_20220222_132015.log.json | |
Paper: | |
Title: Rethinking BiSeNet For Real-time Semantic Segmentation | |
URL: https://arxiv.org/abs/2104.13188 | |
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.20.0/mmseg/models/backbones/stdc.py#L394 | |
Framework: PyTorch | |
- Name: stdc2_in1k-pre_4xb12-80k_cityscapes-512x1024 | |
In Collection: STDC | |
Results: | |
Task: Semantic Segmentation | |
Dataset: Cityscapes | |
Metrics: | |
mIoU: 76.67 | |
mIoU(ms+flip): 78.67 | |
Config: configs/stdc/stdc2_in1k-pre_4xb12-80k_cityscapes-512x1024.py | |
Metadata: | |
Training Data: Cityscapes | |
Batch Size: 48 | |
Architecture: | |
- STDC2 | |
- STDC | |
Training Resources: 4x V100 GPUS | |
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc2_in1k-pre_512x1024_80k_cityscapes/stdc2_in1k-pre_512x1024_80k_cityscapes_20220224_073048-1f8f0f6c.pth | |
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc2_in1k-pre_512x1024_80k_cityscapes/stdc2_in1k-pre_512x1024_80k_cityscapes_20220224_073048.log.json | |
Paper: | |
Title: Rethinking BiSeNet For Real-time Semantic Segmentation | |
URL: https://arxiv.org/abs/2104.13188 | |
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.20.0/mmseg/models/backbones/stdc.py#L394 | |
Framework: PyTorch | |