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A multi-modal multi-scale network based on Transformer for micro-expression recognition
DOI:10.1016/j.jvcir.2025.104537.png)
Abstract
En 中文
• Two complementary micro-expression features extracted from different modalities. • Multi-scale attention helps capture important local features at different scales. • Cross-entropy and unsupervised contrastive learning loss to constrain the model.
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