Inactive evaluations
method: Alibaba-PAI2019-02-01
Authors: Alibaba-PAI OCR team
Description: A end-to-end text spotter by Alibaba-PAI OCR team.
method: Sogou_MM2018-11-02
Authors: Baojun Li, Tao Wei, Qian Wang, Bin Li
Description: An End-to-End Text Spotter with Global Concatenating Feature Enhancement.
method: Baidu VIS v2+2018-08-01
Authors: VIS-OCR
Description: An improved end-to-end text localization and recognition result submitted by Baidu VIS-OCR.
Description Paper Source Code
| Date | Method | Recall | Precision | Hmean | |||
|---|---|---|---|---|---|---|---|
| 2019-02-01 | Alibaba-PAI | 81.61% | 93.23% | 87.04% | |||
| 2018-11-02 | Sogou_MM | 84.47% | 88.92% | 86.64% | |||
| 2018-08-01 | Baidu VIS v2+ | 82.33% | 88.47% | 85.29% | |||
| 2018-07-30 | Tencent Youtu | 80.39% | 89.58% | 84.74% | |||
| 2018-07-02 | Baidu VIS v2 | 80.90% | 88.29% | 84.43% | |||
| 2018-03-05 | HoText_v1 | 81.10% | 87.98% | 84.40% | |||
| 2017-10-23 | Baidu VIS | 75.08% | 91.47% | 82.47% | |||
| 2018-01-22 | FOTS | 73.85% | 93.17% | 82.39% | |||
| 2017-08-02 | Sensetime V1 | 74.92% | 91.17% | 82.25% | |||
| 2018-03-28 | SRC-B-MachineLearningLab | 75.08% | 90.80% | 82.19% | |||
| 2024-02-26 | gts-swint-cocoonly-s4-3_1 | 78.80% | 85.06% | 81.81% | |||
| 2017-07-17 | Baidu IDL v3 | 70.94% | 87.36% | 78.30% | |||
| 2022-04-21 | NVTextSpotter | 71.14% | 80.20% | 75.40% | |||
| 2017-07-12 | SRC-B-MachineLearningLab | 67.62% | 83.74% | 74.82% | |||
| 2016-07-21 | Baidu IDL | 60.42% | 65.21% | 62.73% | |||
| 2019-04-11 | e2e-mlt + bug fix | 55.46% | 57.55% | 56.49% | |||
| 2016-03-02 | TextProposals + DictNet | 39.22% | 78.29% | 52.26% | |||
| 2016-04-05 | SRC-B-TextProcessingLab | 39.94% | 73.91% | 51.86% | |||
| 2018-10-25 | e2e-mlt | 49.34% | 54.55% | 51.81% | |||
| 2016-10-20 | Yunos_Robot1.0 | 38.30% | 69.83% | 49.47% | |||
| 2015-11-09 | Megvii-Image++ | 36.16% | 52.17% | 42.71% | |||
| 2021-02-11 | M_FOTS_Orig | 33.30% | 36.36% | 34.76% | |||
| 2021-05-25 | Char-level PTSD on SynthText | 19.05% | 33.33% | 24.24% | |||
| 2015-04-02 | Beam search CUNI +S (decoding for TextSpotter - no postprocessing) | 14.96% | 35.60% | 21.07% | |||
| 2015-04-02 | Deep2Text-MO | 14.61% | 22.08% | 17.58% | |||
| 2015-05-04 | Baseline OpenCV3.0 + Tesseract | 7.81% | 32.97% | 12.63% | |||
| 2015-04-02 | Beam search CUNI (decoding for TextSpotter - spell checked) | 6.28% | 66.49% | 11.48% | |||
| 2015-04-02 | Baseline-TextSpotter | 0.00% | 0.00% | 0.00% |