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Collections:
- Name: SDMGR
Metadata:
Training Data: KIEDataset
Training Techniques:
- Adam
Training Resources: 1x NVIDIA A100-SXM4-80GB
Architecture:
- UNet
- SDMGRHead
Paper:
URL: https://arxiv.org/abs/2103.14470.pdf
Title: 'Spatial Dual-Modality Graph Reasoning for Key Information Extraction'
README: configs/kie/sdmgr/README.md
Models:
- Name: sdmgr_unet16_60e_wildreceipt
Alias: SDMGR
In Collection: SDMGR
Config: configs/kie/sdmgr/sdmgr_unet16_60e_wildreceipt.py
Metadata:
Training Data: wildreceipt
Results:
- Task: Key Information Extraction
Dataset: wildreceipt
Metrics:
macro_f1: 0.890
Weights: https://download.openmmlab.com/mmocr/kie/sdmgr/sdmgr_unet16_60e_wildreceipt/sdmgr_unet16_60e_wildreceipt_20220825_151648-22419f37.pth
- Name: sdmgr_novisual_60e_wildreceipt
In Collection: SDMGR
Config: configs/kie/sdmgr/sdmgr_novisual_60e_wildreceipt.py
Metadata:
Training Data: wildreceipt
Results:
- Task: Key Information Extraction
Dataset: wildreceipt
Metrics:
macro_f1: 0.873
Weights: https://download.openmmlab.com/mmocr/kie/sdmgr/sdmgr_novisual_60e_wildreceipt/sdmgr_novisual_60e_wildreceipt_20220831_193317-827649d8.pth
- Name: sdmgr_novisual_60e_wildreceipt_openset
In Collection: SDMGR
Config: configs/kie/sdmgr/sdmgr_novisual_60e_wildreceipt-openset.py
Metadata:
Training Data: wildreceipt-openset
Results:
- Task: Key Information Extraction
Dataset: wildreceipt
Metrics:
macro_f1: 0.931
micro_f1: 0.940
edge_micro_f1: 0.792
Weights: https://download.openmmlab.com/mmocr/kie/sdmgr/sdmgr_novisual_60e_wildreceipt-openset/sdmgr_novisual_60e_wildreceipt-openset_20220831_200807-dedf15ec.pth
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