EviDep uses evidential learning with a Normal-Inverse-Gamma distribution, wavelet-based feature extraction, and explicit feature disentanglement to deliver accurate multimodal depression estimates with calibrated uncertainty.
Transformer-based multimodal feature enhancement networks for mul- timodal depression detection integrating video, audio and remote photo- plethysmograph signals
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EviDep: Trustworthy Multimodal Depression Estimation via Disentangled Evidential Learning
EviDep uses evidential learning with a Normal-Inverse-Gamma distribution, wavelet-based feature extraction, and explicit feature disentanglement to deliver accurate multimodal depression estimates with calibrated uncertainty.