Sep 7, 2023 · Abstract:Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a face recognition system by presenting spoofed faces.

(c) Our proposed S-. Adapter addresses this limitation by extracting localized token histograms to extract statistical information, enabling more efficient fine ...

Title: S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing With Statistical Tokens. Authors: Rizhao Cai, Zitong Yu, Chenqi Kong, Haoliang Li ...

Aug 12, 2024 · S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens ... vision transformer for face anti-spoofing.

Jun 20, 2024 · The paper introduces a new Face Anti-Spoofing (FAS) method that aims to improve cross-domain generalization capabilities of deep learning ...

S-Adapter : Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens. Research output: Journal Publications and Reviews › RGC 21 ...

Jun 28, 2024 · Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a face recognition system by presenting spoofed faces.

S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens. R Cai, Z Yu, C Kong, H Li, C Chen, Y Hu, A Kot. IEEE Transaction on ...

S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens ... Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade ...

S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens ... Camera Invariant Feature Learning for Generalized Face Anti-spoofing