| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| DAIC-WOZ (dev) | RED | F1 (avg)90 | 37 | 4d ago | |
| D-Vlog | SCD-MLLM | F1 Score97.35 | 33 | 4d ago | |
| TRT (test) | Unconstrained (BERT) | F1 Score0.82 | 25 | 4d ago | |
| RSDD (test) | PHQ9 (scores) | F1 Score85 | 25 | 4d ago | |
| eRisk (test) | PHQ9 (vectors) | F1 Score0.78 | 24 | 4d ago | |
| DAIC-WOZ | READ-Net | F1 Score79.53 | 17 | 4d ago | |
| LMVD | READ-Net | Accuracy77.59 | 14 | 4d ago | |
| Large-Scale Multimodal Vlog Dataset (LMVD) (test) | CAF-Mamba | Accuracy0.7869 | 10 | 4d ago | |
| DAIC-WOZ (held-out) | OMNISAPIENS-7B SFT | F1 Score0.749 | 8 | 4d ago | |
| Depression Detection | Timing-RAG (Llama3 8B Instruct) | Mean ECE0.0276 | 5 | 4d ago | |
| EATD-Corpus (test) | F1 Score0.73 | 4 | 4d ago | ||
| Instagram (212 days observation period) | ResNeXt | Precision77 | 4 | 4d ago | |
| DAIC-WOZ (test) | PyResNet | Weighted Accuracy71.4 | 2 | 4d ago |
