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.
· Italian National Conference... · 0 citations