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Collections: |
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- Name: RobustScanner |
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Metadata: |
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Training Data: OCRDataset |
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Training Techniques: |
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- Adam |
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Epochs: 5 |
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Batch Size: 1024 |
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Training Resources: 16x GeForce GTX 1080 Ti |
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Architecture: |
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- ResNet31OCR |
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- ChannelReductionEncoder |
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- RobustScannerDecoder |
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Paper: |
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URL: https://arxiv.org/pdf/2007.07542.pdf |
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Title: 'RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition' |
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README: configs/textrecog/robust_scanner/README.md |
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Models: |
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- Name: robustscanner_r31_academic |
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In Collection: RobustScanner |
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Config: configs/textrecog/robust_scanner/robustscanner_r31_academic.py |
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Metadata: |
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Training Data: |
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- ICDAR2011 |
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- ICDAR2013 |
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- ICDAR2015 |
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- COCO text |
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- IIIT5K |
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- SynthText |
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- SynthAdd |
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- Syn90k |
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Results: |
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- Task: Text Recognition |
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Dataset: IIIT5K |
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Metrics: |
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word_acc: 95.1 |
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- Task: Text Recognition |
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Dataset: SVT |
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Metrics: |
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word_acc: 89.2 |
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- Task: Text Recognition |
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Dataset: ICDAR2013 |
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Metrics: |
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word_acc: 93.1 |
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- Task: Text Recognition |
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Dataset: ICDAR2015 |
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Metrics: |
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word_acc: 77.8 |
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- Task: Text Recognition |
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Dataset: SVTP |
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Metrics: |
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word_acc: 80.3 |
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- Task: Text Recognition |
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Dataset: CT80 |
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Metrics: |
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word_acc: 90.3 |
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Weights: https://download.openmmlab.com/mmocr/textrecog/robustscanner/robustscanner_r31_academic-5f05874f.pth |
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