mirror of https://github.com/open-mmlab/mmocr.git
40 lines
1.4 KiB
YAML
40 lines
1.4 KiB
YAML
Collections:
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- Name: FCENet
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Metadata:
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Training Data: SCUT-CTW1500
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Training Techniques:
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- SGD with Momentum
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Training Resources: 1x NVIDIA A100-SXM4-80GB
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Architecture:
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- ResNet50 with DCNv2
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- FPN
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- FCEHead
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Paper:
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URL: https://arxiv.org/abs/2002.02709.pdf
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Title: 'FourierNet: Compact mask representation for instance segmentation using differentiable shape decoders'
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README: configs/textdet/fcenet/README.md
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Models:
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- Name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500
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In Collection: FCENet
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Config: configs/textdet/fcenet/fcenet_resnet50-dcnv2_fpn_1500e_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: 0.8488
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Weights: https://download.openmmlab.com/mmocr/textdet/fcenet/fcenet_resnet50-dcnv2_fpn_1500e_ctw1500/fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510-4d705392.pth
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- Name: fcenet_resnet50_fpn_1500e_icdar2015
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In Collection: FCENet
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Config: configs/textdet/fcenet/fcenet_resnet50_fpn_1500e_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: 0.8528
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Weights: https://download.openmmlab.com/mmocr/textdet/fcenet/fcenet_resnet50_fpn_1500e_icdar2015/fcenet_resnet50_fpn_1500e_icdar2015_20220826_140941-167d9042.pth
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