GitHub - SeungjinJung/GD-FAS: [ICCV 2025] Group-wise Scaling and Orthogonal Decomposition for Domain-Invariant Feature Extraction in Face Anti-Spoofing. (original) (raw)

This repository contains the official implementation of the ICCV 2025 paper. [Arxiv] [Project]

Authors: Seungjin Jung, Kanghee Lee, Younghyung Jeong, Haeun Noh, Jungmin Lee, and Jongwon Choi*

The experiments in this paper are conducted on several publicly available datasets widely used in face anti-spoofing research:

dataset
|-- {dataset}
|   |-- train
|   |   |-- attack
|   |   |   |-- {video}
|   |   |       |-- {img}
|   |   |-- live
|   |   |   |-- {video}
|   |   |       |-- {img}
|   |-- test
|   |   |-- attack
|   |   |   |-- {video}
|   |   |       |-- {img}
|   |   |-- live
|   |   |   |-- {video}
|   |   |       |-- {img}

@article{jung2025group, title={Group-wise Scaling and Orthogonal Decomposition for Domain-Invariant Feature Extraction in Face Anti-Spoofing}, author={Jung, Seungjin and Lee, Kanghee and Jeong, Yonghyun and Noh, Haeun and Lee, Jungmin and Choi, Jongwon}, booktitle={Proceedings of the IEEE/CVF international conference on computer vision}, year={2025} }