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Pei He

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Open access Sep 2026

Structured Prototype Learning with Feature Fusion for Sparse and Asynchronous Audio–Visual Depression Recognition

Results indicate that structured prototype learning is effective for preserving sparse depression-related cues, while training-time perturbation provides a complementary regularisation effect under asynchronous multimodal conditions.

Zhong-Hui Jin, Pei He, Yang-Ming Guo et al. · 0 citations

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