AI RESEARCH
Soften the Mask: Adaptive Temporal Soft Mask for Efficient Dynamic Facial Expression Recognition
arXiv CS.CV
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ArXi:2502.21004v2 Announce Type: replace Dynamic Facial Expression Recognition (DFER) facilitates the understanding of psychological intentions through non-verbal communication. Existing methods struggle to manage irrelevant information, such as background noise and redundant semantics, which impacts both efficiency and effectiveness. In this work, we propose a novel supervised temporal soft masked autoencoder network for DFER, namely AdaTosk, which integrates a parallel supervised classification branch with the self-supervised reconstruction branch.