%0 Conference Proceedings
%T ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text – RRC-ArT
%A Chee-Kheng Chng
%A Yuliang Liu
%A Yipeng Sun
%A Chun Chet Ng
%A Canjie Luo
%A Zihan Ni
%A ChuanMing Fang
%A Shuaitao Zhang
%A Junyu Han
%A Errui Ding
%A Jingtuo Liu
%A Dimosthenis Karatzas
%A Chee Seng Chan
%A Lianwen Jin
%B 15th International Conference on Document Analysis and Recognition
%D 2019
%F Chee-Kheng Chng2019
%O DAG; 600.121; 600.129
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3340), last updated on Tue, 25 Jan 2022 11:03:18 +0100
%X 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.
%U https://ieeexplore.ieee.org/document/8978157
%U http://refbase.cvc.uab.es/files/CLS2019.pdf
%U http://dx.doi.org/10.1109/ICDAR.2019.00252
%P 1571-1576