{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/celeba-spoof-challenge-2020-on-face-anti","title":"CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results","arxiv_id":"2102.12642","date":"2021-02-25","proceeding":null,"authors":["Yuanhan Zhang","Zhenfei Yin","Jing Shao","Ziwei Liu","Shuo Yang","Yuanjun Xiong","Wei Xia","Yan Xu","Man Luo","Jian Liu","Jianshu Li","Zhijun Chen","Mingyu Guo","Hui Li","Junfu Liu","Pengfei Gao","Tianqi Hong","Hao Han","Shijie Liu","Xinhua Chen","Di Qiu","Cheng Zhen","Dashuang Liang","Yufeng Jin","Zhanlong Hao"],"abstract":"As facial interaction systems are prevalently deployed, security and reliability of these systems become a critical issue, with substantial research efforts devoted. Among them, face anti-spoofing emerges as an important area, whose objective is to identify whether a presented face is live or spoof. Recently, a large-scale face anti-spoofing dataset, CelebA-Spoof which comprised of 625,537 pictures of 10,177 subjects has been released. It is the largest face anti-spoofing dataset in terms of the numbers of the data and the subjects. This paper reports methods and results in the CelebA-Spoof Challenge 2020 on Face AntiSpoofing which employs the CelebA-Spoof dataset. The model evaluation is conducted online on the hidden test set. A total of 134 participants registered for the competition, and 19 teams made valid submissions. We will analyze the top ranked solutions and present some discussion on future work directions.","url_abs":"https://arxiv.org/abs/2102.12642v2","url_pdf":"https://arxiv.org/pdf/2102.12642v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"celeba-spoof-challenge-2020-on-face-anti","repo_url":"https://github.com/Davidzhangyuanhan/CelebA-Spoof","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"face-anti-spoofing","task_name":"Face Anti-Spoofing"},{"task_slug":null,"task_name":"valid"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}