Abstract: Highlights•We propose to constrain self-attention to capture AU-related local information.•We propose to capture correlations among AUs by learning dual-directional attentions.•We introduce a multi-view ensemble method to merge the strengths of both models.•Our methods achieve state-of-the-art performance on challenging datasets.
External IDs:dblp:journals/pr/ShaoCZSLMY26
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