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Collections:
- Name: FCENet
Metadata:
Training Data: SCUT-CTW1500
Training Techniques:
- SGD with Momentum
Training Resources: 1x GeForce GTX 2080 Ti
Architecture:
- ResNet with DCNv2
- FPN
Paper:
URL: https://arxiv.org/abs/2002.02709.pdf
Title: 'FourierNet: Compact mask representation for instance segmentation using differentiable shape decoders'
README: configs/textdet/fcenet/README.md
Models:
- Name: fcenet_r50dcnv2_fpn_1500e_ctw1500
In Collection: FCENet
Config: configs/textdet/fcenet/fcenet_r50dcnv2_fpn_1500e_ctw1500.py
Metadata:
Training Data: CTW1500
Results:
- Task: Text Detection
Dataset: CTW1500
Metrics:
hmean-iou: 0.851
Weights: https://download.openmmlab.com/mmocr/textdet/fcenet/fcenet_r50dcnv2_fpn_1500e_ctw1500_20211022-e326d7ec.pth
- Name: fcenet_r50_fpn_1500e_icdar2015
In Collection: FCENet
Config: configs/textdet/fcenet/fcenet_r50_fpn_1500e_icdar2015.py
Metadata:
Training Data: ICDAR2015
Results:
- Task: Text Detection
Dataset: ICDAR2015
Metrics:
hmean-iou: 0.849
Weights: https://download.openmmlab.com/mmocr/textdet/fcenet/fcenet_r50_fpn_1500e_icdar2015_20211022-daefb6ed.pth
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