Searching Central Difference Convolutional Networks for Face Anti-Spoofing

9 Mar 2020Zitong YuChenxu ZhaoZezheng WangYunxiao QinZhuo SuXiaobai LiFeng ZhouGuoying Zhao

Face anti-spoofing (FAS) plays a vital role in face recognition systems. Most state-of-the-art FAS methods 1) rely on stacked convolutions and expert-designed network, which is weak in describing detailed fine-grained information and easily being ineffective when the environment varies (e.g., different illumination), and 2) prefer to use long sequence as input to extract dynamic features, making them difficult to deploy into scenarios which need quick response... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.