Curved Text Detection On Scut Ctw1500
المقاييس
F-Measure
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
| Paper Title | ||
|---|---|---|
| TextCohesion | 86.3% | TextCohesion: Detecting Text for Arbitrary Shapes |
| TextSnake [[Long et al.(2018)Long, Ruan, Zhang, He, Wu, and Yao]] | 75.6% | TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes |
| CTD+TLOC | 73.4% | Detecting Curve Text in the Wild: New Dataset and New Solution |
| CTD+TLOC [[Noh et al.(2015)Noh, Hong, and Han]] | 73.4% | Learning Deconvolution Network for Semantic Segmentation |
| CTD [[Noh et al.(2015)Noh, Hong, and Han]] | 69.5% | Learning Deconvolution Network for Semantic Segmentation |
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