WIDER Face and Pedestrian Challenge 2018: Methods and Results
Abstract
This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian. The challenge focuses on the problem of precise localization of human faces and bodies, and accurate association of identities. It comprises of three tracks: (i) WIDER Face which aims at soliciting new approaches to advance the state-of-the-art in face detection, (ii) WIDER Pedestrian which aims to find effective and efficient approaches to address the problem of pedestrian detection in unconstrained environments, and (iii) WIDER Person Search which presents an exciting challenge of searching persons across 192 movies. In total, 73 teams made valid submissions to the challenge tracks. We summarize the winning solutions for all three tracks. and present discussions on open problems and potential research directions in these topics.
Keywords
Cite
@article{arxiv.1902.06854,
title = {WIDER Face and Pedestrian Challenge 2018: Methods and Results},
author = {Chen Change Loy and Dahua Lin and Wanli Ouyang and Yuanjun Xiong and Shuo Yang and Qingqiu Huang and Dongzhan Zhou and Wei Xia and Quanquan Li and Ping Luo and Junjie Yan and Jianfeng Wang and Zuoxin Li and Ye Yuan and Boxun Li and Shuai Shao and Gang Yu and Fangyun Wei and Xiang Ming and Dong Chen and Shifeng Zhang and Cheng Chi and Zhen Lei and Stan Z. Li and Hongkai Zhang and Bingpeng Ma and Hong Chang and Shiguang Shan and Xilin Chen and Wu Liu and Boyan Zhou and Huaxiong Li and Peng Cheng and Tao Mei and Artem Kukharenko and Artem Vasenin and Nikolay Sergievskiy and Hua Yang and Liangqi Li and Qiling Xu and Yuan Hong and Lin Chen and Mingjun Sun and Yirong Mao and Shiying Luo and Yongjun Li and Ruiping Wang and Qiaokang Xie and Ziyang Wu and Lei Lu and Yiheng Liu and Wengang Zhou},
journal= {arXiv preprint arXiv:1902.06854},
year = {2019}
}
Comments
Report of ECCV 2018 workshop: WIDER Face and Pedestrian Challenge