Multimodal domain generalization for depression detection via an attention-based BiLSTM network with domain-adversarial training
Read the original at arxiv.org→arXiv:2607.22794v1 Announce Type: new Abstract: Automatic depression detection with deep learning has shown promise but often suffers from limited generalization due to domain shift arising from inter-speaker...
Original headline: "Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training"
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- Jul 28, 04:00 UTC arXiv cs.LG lead source Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training