Robust ReadingCompetition
Challenges

method: CLOVA-AI / PAPAGO2018-07-03

Authors: Youngmin Baek, Bado Lee, Hwalsuk Lee

Description: Character-level text detection based on weakly-supervised learning. Multi-scale experiment result. CLOVA-AI team, Naver Corp.  (Paper in preparation)

method: EAST++2017-11-09

Authors: chen zhao cai

Description: this one includes some improvements over EAST(https://github.com/argman/EAST) , this one is a single scale result, but i enlarge the original image by 2X because of so many small texts.

method: FOTS_v22018-01-22

Authors: Xuebo Liu, Ding Liang, Junjie Yan

Description: FOTS_v2 improves the performance on long text, such as Chinese.

Ranking Table

Description Paper Source Code
DateMethodAverage PrecisionPrecisionRecallHmean
2018-07-03CLOVA-AI / PAPAGO22.56%38.91%59.78%47.13%
2017-11-09EAST++27.28%33.57%60.37%43.15%
2018-01-22FOTS_v224.21%33.62%55.89%41.99%
2018-05-18PSENet_NJU_ImagineLab (single-scale)17.80%31.96%57.29%41.03%
2018-01-22FOTS23.68%32.97%50.24%39.82%
2018-03-12ATL Cangjie OCR31.21%28.76%60.12%38.91%
2017-06-28SCUT_DLVClab125.34%31.48%44.93%37.02%
2017-06-29SARI_FDU_RRPN_v119.88%22.58%48.02%30.72%
2017-06-28SARI_FDU_RRPN_v024.29%19.91%51.53%28.73%
2017-06-30TH-DL9.24%16.53%25.97%20.20%
2017-06-30Sensetime OCR27.49%10.93%64.03%18.68%
2017-06-30linkage-ER-Flow6.15%12.13%39.18%18.52%

Ranking Graphic

Ranking Graphic