Command Palette
Search for a command to run...
Curved Text Detection On Scut Ctw1500
Metrics
F-Measure
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| 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 |
0 of 5 row(s) selected.