Welcome to Face Anti-spoofing (Presentation Attack Detection) Challenge@CVPR2020
In this challenge, we will release a largest cross-ethnicity dataset CASIA-SURF CeFA for face antispoofing (please refer to ) . It includes four protocols. But for this challenge, we have two tracks and only use protocol 4 (Cross-ethnicity & PAI) .
Track 1 (Multi-modal data): It uses the protocol 4 (Cross-ethnicity & PAI) in . Participates can use multiply modalities, such as RGB, depth and IR data. Any extra data or pretrained model cannot be used in track 1 (link).
Track 2 (Single RGB modal data): It uses the protocol protocol 4 (Cross-ethnicity & PAI) in . But participates are only permitted to use the single RGB modality. Any extra data or pretrained model cannot be used in track 2 (link).
Dataset Application [link]
Full Schedule of Workshop@CVPR2020 (https://sites.google.com/view/wmediaforensics2020/home?authuser=0)
Ajian Liu, Macau University of Science and Technology (M.U.S.T.), Macau, China, firstname.lastname@example.org
Sergio Escalera, Computer Vision Center (UAB) and University of Barcelona, Spain, email@example.com
Hugo Jair Escalante, INAOE, ChaLearn, Mexico, firstname.lastname@example.org
Isabelle Guyon, Université Paris-Saclay, France and ChaLearn, Berkeley, California, USA, email@example.com
Guodong Guo, IDL, Baidu Research, China, firstname.lastname@example.org
Shaopeng Tang, Beijing Surfing Technology Ltd, email@example.com
Baidu (the exclusive sponsorship)
Ajian Liu, Zichang Tan, Xuan Li, Jun Wan*, Sergio Escalera, Guodong Guo, Stan Z. Li, " Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing ", arxiv, 2019.
Track 1: performances of baseline method in the red box.
Track 2: performances of baseline method in the red box.