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| Collections: | |
| - Name: ASTER | |
| Metadata: | |
| Training Data: OCRDataset | |
| Training Techniques: | |
| - AdamW | |
| Epochs: 6 | |
| Batch Size: 4096 | |
| Training Resources: 4 x NVIDIA A100-SXM4-80GB | |
| Architecture: | |
| - ResNet45 | |
| - ASTERDecoder | |
| Paper: | |
| URL: https://ieeexplore.ieee.org/abstract/document/8395027/ | |
| Title: 'ASTER: An Attentional Scene Text Recognizer with Flexible Rectification' | |
| README: configs/textrecog/aster/README.md | |
| Models: | |
| - Name: aster_resnet45_6e_st_mj | |
| Alias: ASTER | |
| In Collection: ASTER | |
| Config: configs/textrecog/aster/aster_resnet45_6e_st_mj.py | |
| Metadata: | |
| Training Data: | |
| - SynthText | |
| - Syn90k | |
| Results: | |
| - Task: Text Recognition | |
| Dataset: IIIT5K | |
| Metrics: | |
| word_acc: 0.9357 | |
| - Task: Text Recognition | |
| Dataset: SVT | |
| Metrics: | |
| word_acc: 0.8949 | |
| - Task: Text Recognition | |
| Dataset: ICDAR2013 | |
| Metrics: | |
| word_acc: 0.9281 | |
| - Task: Text Recognition | |
| Dataset: ICDAR2015 | |
| Metrics: | |
| word_acc: 0.7665 | |
| - Task: Text Recognition | |
| Dataset: SVTP | |
| Metrics: | |
| word_acc: 0.8062 | |
| - Task: Text Recognition | |
| Dataset: CT80 | |
| Metrics: | |
| word_acc: 0.8507 | |
| Weights: https://download.openmmlab.com/mmocr/textrecog/aster/aster_resnet45_6e_st_mj/aster_resnet45_6e_st_mj-cc56eca4.pth | |