Scene Text Recognition On Wost
Metrics
1:1 Accuracy
Results
Performance results of various models on this benchmark
Model Name | 1:1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| CLIP4STR-L | 88.8 | CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model | - |
| CLIP4STR-H (DFN-5B) | 90.9 | CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model | - |
| CLIP4STR-B | 87.0 | CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model | - |
| CLIP4STR-L (DataComp-1B) | 90.6 | CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model | - |
| CCD-ViT-Base | 86.0 | Self-supervised Character-to-Character Distillation for Text Recognition | - |
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