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.
Available: https://proceedings.neurips.cc/paper files/ paper/2021/file/31b3b31a1c2f8a370206f111127c0dbd-Paper.pdf
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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.