Text Spotting On Scut Ctw1500
评估指标
F-Measure (%) - Full Lexicon
F-measure (%) - No Lexicon
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | |||
|---|---|---|---|---|
| A3S | 82.3 | 64.4 | A3S: Adversarial learning of semantic representations for Scene-Text Spotting | - |
| DeepSolo (ResNet-50) | 81.4 | 64.2 | DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Multilingual Text Spotting | |
| SPTS | 83.8 | 63.6 | SPTS: Single-Point Text Spotting | |
| ABINet++ | 80.3 | 60.2 | ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting | |
| TPSNet | 79.2 | 59.7 | TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation | |
| MANGO | 78.7 | 58.9 | MANGO: A Mask Attention Guided One-Stage Scene Text Spotter | |
| ABCNet v2 | 77.2 | 57.5 | ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting | |
| TextPerceptron | - | 57.0 | Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting | |
| TESTR | 81.5 | 56.0 | Text Spotting Transformers | |
| SwinTextSpotter | 77.0 | 51.8 | SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition | |
| TextDragon | 72.4 | 39.7 | TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting | - |
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