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Research questionHow can ViT-based video facial-expression recognition detect subtle, localized temporal changes that global attention overlooks?Subtle expression cues may appear in small facial regions and persist for only short intervals. Video Transformers can instead emphasize dominant motion and coarse temporal patterns, making those fine-grained changes difficult to recognize.
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Latest papersRecent research connected to this question, newest first.Reweighting Framewise Attention in Video Transformers for Facial Expression UnderstandingThe source concerns ViT-based video models for facial-expression recognition and reports results on challenging FER benchmarks. It describes a parameter-free framewise attention redistribution plug-in, including an exact post-softmax formulation and a FlashAttention-compatible pre-softmax approximation; no broader tasks or deployment evidence are specified.research paper · Sep 2, 2026
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