TY  - CONF
AU  - Chee-Kheng Chng
AU  - Yuliang Liu
AU  - Yipeng Sun
AU  - Chun Chet Ng
AU  - Canjie Luo
AU  - Zihan Ni
AU  - ChuanMing Fang
AU  - Shuaitao Zhang
AU  - Junyu Han
AU  - Errui Ding
AU  - Jingtuo Liu
AU  - Dimosthenis Karatzas
AU  - Chee Seng Chan
AU  - Lianwen Jin
A2  - ICDAR
PY  - 2019//
TI  - ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text – RRC-ArT
BT  - 15th International Conference on Document Analysis and Recognition
SP  - 1571
EP  - 1576
N2  - 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.
UR  - https://ieeexplore.ieee.org/document/8978157
L1  - http://refbase.cvc.uab.es/files/CLS2019.pdf
UR  - http://dx.doi.org/10.1109/ICDAR.2019.00252
N1  - DAG; 600.121; 600.129
ID  - Chee-Kheng Chng2019
ER  -