mirror of https://github.com/open-mmlab/mmocr.git
41 lines
1.2 KiB
YAML
41 lines
1.2 KiB
YAML
Collections:
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- Name: PSENet
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Metadata:
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Training Data: ICDAR2015 SCUT-CTW1500
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Training Techniques:
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- Adam
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Training Resources: 1x NVIDIA A100-SXM4-80GB
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Architecture:
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- ResNet
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- FPNF
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- PSEHead
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Paper:
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URL: https://arxiv.org/abs/1806.02559.pdf
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Title: 'Shape Robust Text Detection with Progressive Scale Expansion Network'
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README: configs/textdet/psenet/README.md
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Models:
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- Name: psenet_resnet50_fpnf_600e_ctw1500
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In Collection: PSENet
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Config: configs/textdet/psenet/psenet_resnet50_fpnf_600e_ctw1500.py
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Metadata:
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Training Data: CTW1500
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Results:
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- Task: Text Detection
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Dataset: CTW1500
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Metrics:
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hmean-iou: 0.7793
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Weights: https://download.openmmlab.com/mmocr/textdet/psenet/psenet_resnet50_fpnf_600e_ctw1500/psenet_resnet50_fpnf_600e_ctw1500_20220825_221459-7f974ac8.pth
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- Name: psenet_resnet50_fpnf_600e_icdar2015
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In Collection: PSENet
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Config: configs/textdet/psenet/psenet_resnet50_fpnf_600e_icdar2015.py
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Metadata:
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Training Data: ICDAR2015
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Results:
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- Task: Text Detection
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Dataset: ICDAR2015
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Metrics:
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hmean-iou: 0.7998
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Weights:
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