mirror of https://github.com/open-mmlab/mmocr.git
38 lines
1.1 KiB
YAML
38 lines
1.1 KiB
YAML
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Collections:
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- Name: DBNet
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Metadata:
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Training Data: ICDAR2015
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Training Techniques:
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- SGD with Momentum
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Training Resources: 8x NVIDIA V100 GPUs
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Architecture:
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- ResNet
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- FPNC
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Paper: https://arxiv.org/pdf/1911.08947.pdf
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README: configs/textdet/dbnet/README.md
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Models:
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- Name: dbnet_r18_fpnc_1200e_icdar2015
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In Collection: DBNet
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Config: configs/textdet/dbnet/dbnet_r18_fpnc_1200e_icdar2015.py
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Metadata:
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Training Data: ICDAR2015
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Results:
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- Task: Instance Segmentation
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Dataset: ICDAR2015
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Metrics:
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hmean-iou: 0.795
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Weights: https://download.openmmlab.com/mmocr/textdet/dbnet/dbnet_r18_fpnc_sbn_1200e_icdar2015_20210329-ba3ab597.pth
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- Name: dbnet_r50dcnv2_fpnc_1200e_icdar2015
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In Collection: DBNet
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Config: configs/textdet/dbnet/dbnet_r50dcnv2_fpnc_1200e_icdar2015.py
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Metadata:
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Training Data: ICDAR2015
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Results:
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- Task: Instance Segmentation
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Dataset: ICDAR2015
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Metrics:
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hmean-iou: 0.830
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Weights: https://download.openmmlab.com/mmocr/textdet/dbnet/dbnet_r50dcnv2_fpnc_sbn_1200e_icdar2015_20210325-91cef9af.pth
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