A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarios

03/29/2021
by   Xudong Chen, et al.
0

Face Anti-spoofing (FAS) is a challenging problem due to complex serving scenarios and diverse face presentation attack patterns. Especially when captured images are low-resolution, blurry, and coming from different domains, the performance of FAS will degrade significantly. The existing multi-modal FAS datasets rarely pay attention to the cross-domain problems under deployment scenarios, which is not conducive to the study of model performance. To solve these problems, we explore the fine-grained differences between multi-modal cameras and construct a cross-domain multi-modal FAS dataset under surveillance scenarios called GREAT-FASD-S. Besides, we propose an Attention based Face Anti-spoofing network with Feature Augment (AFA) to solve the FAS towards low-quality face images. It consists of the depthwise separable attention module (DAM) and the multi-modal based feature augment module (MFAM). Our model can achieve state-of-the-art performance on the CASIA-SURF dataset and our proposed GREAT-FASD-S dataset.

READ FULL TEXT

page 2

page 4

page 5

page 9

page 10

page 12

page 13

page 15

research
04/24/2020

PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing

Face anti-spoofing has become an increasingly important and critical sec...
research
04/17/2020

Multi-Modal Face Anti-Spoofing Based on Central Difference Networks

Face anti-spoofing (FAS) plays a vital role in securing face recognition...
research
12/02/2018

CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-Spoofing

Face anti-spoofing is essential to prevent face recognition systems from...
research
12/21/2021

Review of Face Presentation Attack Detection Competitions

Face presentation attack detection (PAD) has received increasing attenti...
research
09/18/2023

Distributional Estimation of Data Uncertainty for Surveillance Face Anti-spoofing

Face recognition systems have become increasingly vulnerable to security...
research
12/07/2022

Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing

Along with the widespread use of face recognition systems, their vulnera...
research
07/22/2021

Structure Destruction and Content Combination for Face Anti-Spoofing

In pursuit of consolidating the face verification systems, prior face an...

Please sign up or login with your details

Forgot password? Click here to reset