method: TextFuseNet (ResNet-101)2020-10-01
Authors: Jian Ye, Zhe Chen, Juhua Liu, Bo Du
Affiliation: Wuhan University
Email: leaf-yej@whu.edu.cn
Description: This is a preliminary evaluation result of TextFuseNet with ResNet-101. Multi-scale training and single-scale testing are used to get the final results. Sigma Lab, Wuhan University.
method: CUTeOCR2019-04-30
Authors: Zhuotao Tian, Zhicheng Yang, Pengyuan Lyu, Ruiyu Li
Description: We use MASK R-CNN as our baseline. We are from CUHK, HIT and Tencent Youtu Lab.
method: Fudan-Supremind Detection v32019-04-30
Authors: Yaowu Wei, Shangchao Su, Tairu Qiu, Xunyan Wang, Shaokang Lin, Zili Yi, Lei Deng, Mulin Xu, Jianqi Ma, Bin Li, Xiangyang Xue
Description: We propose a text segmentation algorithm based on Cascaded Mask-RCNN with deformable convolution and DenseASPP. And furthermore, we do some changes.
Description Paper Source Code
| Date | Method | Recall | Precision | Hmean | |||
|---|---|---|---|---|---|---|---|
| 2020-10-01 | TextFuseNet (ResNet-101) | 72.77% | 85.42% | 78.59% | |||
| 2019-04-30 | CUTeOCR | 71.56% | 86.57% | 78.36% | |||
| 2019-04-30 | Fudan-Supremind Detection v3 | 71.61% | 79.26% | 75.24% | |||
| 2019-04-30 | DMText_art | 66.15% | 85.09% | 74.43% | |||
| 2019-04-30 | TEXT_SNIPER | 71.45% | 76.17% | 73.74% | |||
| 2019-04-29 | CRAFT | 68.93% | 77.25% | 72.85% | |||
| 2019-04-30 | MaskDet | 67.04% | 76.47% | 71.44% | |||
| 2019-04-30 | CCISTD | 60.72% | 81.16% | 69.47% | |||
| 2019-04-25 | Art detect by vivo | 57.15% | 80.72% | 66.92% | |||
| 2019-04-30 | DMCA | 64.01% | 69.08% | 66.45% | |||
| 2019-04-30 | TMIS | 53.49% | 86.19% | 66.01% | |||
| 2019-04-28 | Improved Progressive scale expansion Net | 52.24% | 75.88% | 61.88% | |||
| 2019-04-27 | TextCohesion_1 | 43.66% | 68.08% | 53.20% | |||
| 2019-04-30 | MSR | 0.46% | 0.55% | 0.50% |