Inactive evaluations
method: Baidu VIS v22018-07-02
Authors: VIS-OCR
Description: An end-to-end text localization and recognition result submitted by Baidu VIS-OCR, the former OCR team at Baidu IDL.
method: FOTS2018-01-22
Authors: Xuebo Liu, Ding Liang, Shi Yan, Dagui Chen, Yu Qiao, Junjie Yan
Description: A unified end-to-end trainable Fast Oriented Text Spotting (FOTS) network for simultaneous detection and recognition, sharing computation and visual information among the two complementary tasks.
method: SRC-B-MachineLearningLab2018-03-28
Authors: Xiaobing Wang, Yingying Jiang, Xiangyu Zhu, Yi Yu, Haiyang Guo, Hao Guo, Ning An, Zhenbo Luo
Description: Samsung R&D Institute of China - Beijing, Machine Learning Lab.
Detection is based on R2CNN.
Recognition is CNN-LSTM based method.
Description Paper Source Code
| Date | Method | Recall | Precision | Hmean | |||
|---|---|---|---|---|---|---|---|
| 2018-07-02 | Baidu VIS v2 | 77.47% | 86.13% | 81.57% | |||
| 2018-01-22 | FOTS | 69.91% | 91.09% | 79.11% | |||
| 2018-03-28 | SRC-B-MachineLearningLab | 70.68% | 89.46% | 78.97% | |||
| 2017-07-12 | SRC-B-MachineLearningLab | 64.52% | 81.06% | 71.85% | |||
| 2019-04-11 | e2e-mlt + bug fix | 55.71% | 58.49% | 57.07% | |||
| 2018-10-25 | e2e-mlt | 49.45% | 55.13% | 52.13% | |||
| 2016-04-05 | SRC-B-TextProcessingLab | 38.57% | 71.84% | 50.19% | |||
| 2016-03-02 | TextProposals + DictNet | 36.69% | 76.58% | 49.61% | |||
| 2015-11-09 | Megvii-Image++ | 33.70% | 49.19% | 40.00% | |||
| 2021-05-25 | Char-level PTSD on SynthText | 18.73% | 33.19% | 23.95% | |||
| 2015-04-02 | Beam search CUNI +S (decoding for TextSpotter - no postprocessing) | 14.01% | 33.72% | 19.80% | |||
| 2015-04-02 | Deep2Text-MO | 13.82% | 21.34% | 16.77% | |||
| 2015-04-02 | Beam search CUNI (decoding for TextSpotter - spell checked) | 5.92% | 64.74% | 10.85% | |||
| 2015-04-02 | Baseline-TextSpotter | 0.00% | 0.00% | 0.00% |