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metafile.yaml
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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