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Collections:
- Name: PANet
Metadata:
Training Data: ICDAR2015 SCUT-CTW1500
Training Techniques:
- Adam
Training Resources: 1x NVIDIA A100-SXM4-80GB
Architecture:
- ResNet
- FPEM_FFM
Paper:
URL: https://arxiv.org/pdf/1803.01534.pdf
Title: 'Path Aggregation Network for Instance Segmentation'
README: configs/textdet/panet/README.md
Models:
- Name: panet_resnet18_fpem-ffm_600e_ctw1500
Alias: PANet_CTW
In Collection: PANet
Config: configs/textdet/panet/panet_resnet18_fpem-ffm_600e_ctw1500.py
Metadata:
Training Data: CTW1500
Results:
- Task: Text Detection
Dataset: CTW1500
Metrics:
hmean-iou: 0.7770
Weights: https://download.openmmlab.com/mmocr/textdet/panet/panet_resnet18_fpem-ffm_600e_ctw1500/panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818-980f32d0.pth
- Name: panet_resnet18_fpem-ffm_600e_icdar2015
Alias: PANet_IC15
In Collection: PANet
Config: configs/textdet/panet/panet_resnet18_fpem-ffm_600e_icdar2015.py
Metadata:
Training Data: ICDAR2015
Results:
- Task: Text Detection
Dataset: ICDAR2015
Metrics:
hmean-iou: 0.7848
Weights: https://download.openmmlab.com/mmocr/textdet/panet/panet_resnet18_fpem-ffm_600e_icdar2015/panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817-be2acdb4.pth
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