38 lines
1.4 KiB
YAML
38 lines
1.4 KiB
YAML
Collections:
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- Name: ERFNet
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License: Apache License 2.0
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Metadata:
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Training Data:
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- Cityscapes
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Paper:
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Title: 'ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation'
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URL: http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf
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README: configs/erfnet/README.md
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Frameworks:
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- PyTorch
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Models:
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- Name: erfnet_fcn_4xb4-160k_cityscapes-512x1024
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In Collection: ERFNet
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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: 72.5
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mIoU(ms+flip): 74.75
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Config: configs/erfnet/erfnet_fcn_4xb4-160k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 16
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Architecture:
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- ERFNet
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- ERFNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 6.04
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/erfnet/erfnet_fcn_4x4_512x1024_160k_cityscapes/erfnet_fcn_4x4_512x1024_160k_cityscapes_20220704_162145-dc90157a.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/erfnet/erfnet_fcn_4x4_512x1024_160k_cityscapes/erfnet_fcn_4x4_512x1024_160k_cityscapes_20220704_162145.log.json
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Paper:
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Title: 'ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation'
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URL: http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.20.0/mmseg/models/backbones/erfnet.py#L321
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Framework: PyTorch
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