Inactive evaluations
method: gts_v22024-08-16
Authors: w
Affiliation: n
Description: ddd
method: CPN (multi-scale)2024-05-30
Authors: Longhuang Wu, Jianqiang Liu, Hanfei Xu, Bin Zheng, Youxin Wang, Shangxuan Tian, Pengfei Xiong
Email: wlonghuang@gmail.com
Description: Detector adopts CPN and recognizer adopts PARSeq.
method: gts-swint-cocoonly-s4-3_12024-02-26
Authors: w
Affiliation: n
Description: 231
Description Paper Source Code
Date | Method | Recall | Precision | Hmean | |||
---|---|---|---|---|---|---|---|
2024-08-16 | gts_v2 | 83.00% | 96.31% | 89.16% | |||
2024-05-30 | CPN (multi-scale) | 83.44% | 95.59% | 89.10% | |||
2024-02-26 | gts-swint-cocoonly-s4-3_1 | 81.51% | 95.92% | 88.13% | |||
2019-02-01 | Alibaba-PAI | 82.62% | 93.82% | 87.86% | |||
2018-11-02 | Sogou_MM | 84.59% | 91.13% | 87.74% | |||
2018-08-01 | Baidu VIS v2+ | 83.63% | 90.80% | 87.07% | |||
2018-07-30 | Tencent Youtu | 81.56% | 92.62% | 86.74% | |||
2018-07-02 | Baidu VIS v2 | 83.44% | 89.24% | 86.24% | |||
2018-03-05 | HoText_v1 | 79.68% | 91.84% | 85.33% | |||
2018-03-28 | SRC-B-MachineLearningLab | 75.54% | 95.21% | 84.24% | |||
2017-10-23 | Baidu VIS | 77.80% | 91.77% | 84.21% | |||
2018-01-22 | FOTS | 75.45% | 93.61% | 83.55% | |||
2017-08-02 | Sensetime V1 | 74.19% | 94.54% | 83.14% | |||
2017-07-17 | Baidu IDL v3 | 72.85% | 91.25% | 81.02% | |||
2018-07-25 | Smile | 66.54% | 93.38% | 77.71% | |||
2017-07-12 | SRC-B-MachineLearningLab | 68.32% | 89.08% | 77.33% | |||
2022-04-21 | NVTextSpotter | 70.82% | 79.73% | 75.01% | |||
2016-12-26 | HUST_MCLAB | 52.00% | 97.65% | 67.86% | |||
2016-07-21 | Baidu IDL | 60.81% | 67.54% | 64.00% | |||
2019-04-11 | e2e-mlt + bug fix | 55.71% | 58.49% | 57.07% | |||
2019-04-28 | DIY FOTS | 54.65% | 58.15% | 56.34% | |||
2016-03-02 | TextProposals + DictNet | 37.89% | 89.84% | 53.30% | |||
2016-04-05 | SRC-B-TextProcessingLab | 40.11% | 76.42% | 52.60% | |||
2018-10-25 | e2e-mlt | 49.45% | 55.13% | 52.13% | |||
2016-10-20 | Yunos_Robot1.0 | 36.30% | 67.81% | 47.29% | |||
2015-11-09 | Megvii-Image++ | 39.38% | 57.48% | 46.74% | |||
2015-04-03 | Stradvision-2 | 32.21% | 67.92% | 43.70% | |||
2021-02-11 | M_FOTS_Orig | 32.50% | 35.81% | 34.07% | |||
2015-04-02 | StradVision_v1 | 39.77% | 28.51% | 33.21% | |||
2015-04-01 | NJU Text (Version3) | 24.51% | 48.80% | 32.63% | |||
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) | 15.65% | 37.83% | 22.14% | |||
2015-04-02 | Deep2Text-MO | 13.82% | 21.34% | 16.77% | |||
2015-05-04 | Baseline OpenCV3.0 + Tesseract | 8.33% | 40.90% | 13.84% | |||
2015-04-02 | Beam search CUNI (decoding for TextSpotter - spell checked) | 7.22% | 81.08% | 13.26% | |||
2015-04-02 | Baseline-TextSpotter | 0.00% | 0.00% | 0.00% |