The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.
InfoResearchPeer-reviewed
Modality- and Domain-Aware Adaptivity for Generalized Multimodal Face Anti-Spoofing
- Published
- Record updated
Summary
The authors propose MDAA, a modality- and domain-aware adaptive framework for multimodal domain generalization in face anti-spoofing. It combines a Dynamic Difference Convolution module that adjusts receptive fields to each modality and a Domain-Relation Weighted Multi-Head Fusion module that learns target-source domain relations. The method also extends a vision-language model to RGB, Infrared, Depth and Text inputs, and reportedly outperforms existing methods on four benchmark datasets under cross-domain, modality-missing and limited-source conditions.