PT Unknown
AU Chee-Kheng Chng
   Yuliang Liu
   Yipeng Sun
   Chun Chet Ng
   Canjie Luo
   Zihan Ni
   ChuanMing Fang
   Shuaitao Zhang
   Junyu Han
   Errui Ding
   Jingtuo Liu
   Dimosthenis Karatzas
   Chee Seng Chan
   Lianwen Jin
TI ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text – RRC-ArT
BT 15th International Conference on Document Analysis and Recognition
PY 2019
BP 1571
EP 1576
DI 10.1109/ICDAR.2019.00252
AB This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text – RRC-ArT that consists of three major challenges: i) scene text detection, ii) scene text recognition, and iii) scene text spotting. A total of 78 submissions from 46 unique teams/individuals were received for this competition. The top performing score of each challenge is as follows: i) T1 – 82.65%, ii) T2.1 – 74.3%, iii) T2.2 – 85.32%, iv) T3.1 – 53.86%, and v) T3.2 – 54.91%. Apart from the results, this paper also details the ArT dataset, tasks description, evaluation metrics and participants' methods. The dataset, the evaluation kit as well as the results are publicly available at the challenge website.
ER