a95f6d8173
* dice loss * format code, add docstring and calculate denominator without valid_mask * minor change * restore * add metafile * add manifest.in and add config at setup.py * add requirements * modify manifest * modify manifest * Update MANIFEST.in * add metafile * add metadata * fix typo * Update metafile.yml * Update metafile.yml * minor change * Update metafile.yml * add subfix * fix mmshow * add more metafile * add config to model_zoo * fix bug * Update mminstall.txt * [fix] Add models * [Fix] Add collections * [fix] Modify collection name * [Fix] Set datasets to unet metafile * [Fix] Modify collection names * complement inference time
232 lines
7.6 KiB
YAML
232 lines
7.6 KiB
YAML
Collections:
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- Name: PSANet
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Metadata:
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Training Data:
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- Cityscapes
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- Pascal VOC 2012 + Aug
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- ADE20K
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Models:
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- Name: psanet_r50-d8_512x1024_40k_cityscapes
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In Collection: PSANet
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Metadata:
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inference time (fps): 3.17
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 77.63
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r50-d8_512x1024_40k_cityscapes/psanet_r50-d8_512x1024_40k_cityscapes_20200606_103117-99fac37c.pth
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Config: configs/psanet/psanet_r50-d8_512x1024_40k_cityscapes.py
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- Name: psanet_r101-d8_512x1024_40k_cityscapes
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In Collection: PSANet
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Metadata:
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inference time (fps): 2.20
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.14
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r101-d8_512x1024_40k_cityscapes/psanet_r101-d8_512x1024_40k_cityscapes_20200606_001418-27b9cfa7.pth
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Config: configs/psanet/psanet_r101-d8_512x1024_40k_cityscapes.py
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- Name: psanet_r50-d8_769x769_40k_cityscapes
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In Collection: PSANet
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Metadata:
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inference time (fps): 1.40
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 77.99
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r50-d8_769x769_40k_cityscapes/psanet_r50-d8_769x769_40k_cityscapes_20200530_033717-d5365506.pth
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Config: configs/psanet/psanet_r50-d8_769x769_40k_cityscapes.py
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- Name: psanet_r101-d8_769x769_40k_cityscapes
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In Collection: PSANet
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Metadata:
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inference time (fps): 0.98
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.43
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r101-d8_769x769_40k_cityscapes/psanet_r101-d8_769x769_40k_cityscapes_20200530_035107-997da1e6.pth
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Config: configs/psanet/psanet_r101-d8_769x769_40k_cityscapes.py
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- Name: psanet_r50-d8_512x1024_80k_cityscapes
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In Collection: PSANet
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Metadata:
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inference time (fps): 3.17
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 77.24
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r50-d8_512x1024_80k_cityscapes/psanet_r50-d8_512x1024_80k_cityscapes_20200606_161842-ab60a24f.pth
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Config: configs/psanet/psanet_r50-d8_512x1024_80k_cityscapes.py
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- Name: psanet_r101-d8_512x1024_80k_cityscapes
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In Collection: PSANet
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Metadata:
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inference time (fps): 2.20
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.31
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r101-d8_512x1024_80k_cityscapes/psanet_r101-d8_512x1024_80k_cityscapes_20200606_161823-0f73a169.pth
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Config: configs/psanet/psanet_r101-d8_512x1024_80k_cityscapes.py
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- Name: psanet_r50-d8_769x769_80k_cityscapes
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In Collection: PSANet
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Metadata:
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inference time (fps): 1.40
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.31
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r50-d8_769x769_80k_cityscapes/psanet_r50-d8_769x769_80k_cityscapes_20200606_225134-fe42f49e.pth
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Config: configs/psanet/psanet_r50-d8_769x769_80k_cityscapes.py
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- Name: psanet_r101-d8_769x769_80k_cityscapes
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In Collection: PSANet
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Metadata:
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inference time (fps): 0.98
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.69
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r101-d8_769x769_80k_cityscapes/psanet_r101-d8_769x769_80k_cityscapes_20200606_214550-7665827b.pth
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Config: configs/psanet/psanet_r101-d8_769x769_80k_cityscapes.py
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- Name: psanet_r50-d8_512x512_80k_ade20k
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In Collection: PSANet
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Metadata:
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inference time (fps): 18.91
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 41.14
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r50-d8_512x512_80k_ade20k/psanet_r50-d8_512x512_80k_ade20k_20200614_144141-835e4b97.pth
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Config: configs/psanet/psanet_r50-d8_512x512_80k_ade20k.py
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- Name: psanet_r101-d8_512x512_80k_ade20k
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In Collection: PSANet
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Metadata:
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inference time (fps): 13.13
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 43.80
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r101-d8_512x512_80k_ade20k/psanet_r101-d8_512x512_80k_ade20k_20200614_185117-1fab60d4.pth
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Config: configs/psanet/psanet_r101-d8_512x512_80k_ade20k.py
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- Name: psanet_r50-d8_512x512_160k_ade20k
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In Collection: PSANet
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Metadata:
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inference time (fps): 18.91
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 41.67
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r50-d8_512x512_160k_ade20k/psanet_r50-d8_512x512_160k_ade20k_20200615_161258-148077dd.pth
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Config: configs/psanet/psanet_r50-d8_512x512_160k_ade20k.py
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- Name: psanet_r101-d8_512x512_160k_ade20k
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In Collection: PSANet
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Metadata:
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inference time (fps): 13.13
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 43.74
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r101-d8_512x512_160k_ade20k/psanet_r101-d8_512x512_160k_ade20k_20200615_161537-dbfa564c.pth
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Config: configs/psanet/psanet_r101-d8_512x512_160k_ade20k.py
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- Name: psanet_r50-d8_512x512_20k_voc12aug
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In Collection: PSANet
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Metadata:
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inference time (fps): 18.24
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 76.39
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r50-d8_512x512_20k_voc12aug/psanet_r50-d8_512x512_20k_voc12aug_20200617_102413-2f1bbaa1.pth
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Config: configs/psanet/psanet_r50-d8_512x512_20k_voc12aug.py
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- Name: psanet_r101-d8_512x512_20k_voc12aug
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In Collection: PSANet
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Metadata:
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inference time (fps): 12.63
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 77.91
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r101-d8_512x512_20k_voc12aug/psanet_r101-d8_512x512_20k_voc12aug_20200617_110624-946fef11.pth
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Config: configs/psanet/psanet_r101-d8_512x512_20k_voc12aug.py
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- Name: psanet_r50-d8_512x512_40k_voc12aug
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In Collection: PSANet
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Metadata:
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inference time (fps): 18.24
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 76.30
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r50-d8_512x512_40k_voc12aug/psanet_r50-d8_512x512_40k_voc12aug_20200613_161946-f596afb5.pth
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Config: configs/psanet/psanet_r50-d8_512x512_40k_voc12aug.py
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- Name: psanet_r101-d8_512x512_40k_voc12aug
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In Collection: PSANet
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Metadata:
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inference time (fps): 12.63
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 77.73
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/psanet/psanet_r101-d8_512x512_40k_voc12aug/psanet_r101-d8_512x512_40k_voc12aug_20200613_161946-1f560f9e.pth
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Config: configs/psanet/psanet_r101-d8_512x512_40k_voc12aug.py
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