Emotion Recognition on AFEW-VA 1.0 (5-fold Cross-val)
0.68PCC (Valence)EMOCA
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| EMOCAPre-training=AffectNet, Fine-tuning=AFEW-VA, Evaluation Protocol=5-fold Cross-Validation, Level=with detail2022.04 | 0.68 | 0.65 | 0.2 | 0.64 | 0.56 | 0.53 | 0.22 | 0.8 | |
| EMOCAPre-training=AffectNet, Fine-tuning=AFEW-VA, Evaluation Protocol=5-fold Cross-Validation, Level=standard2022.04 | 0.65 | 0.63 | 0.21 | 0.64 | 0.57 | 0.54 | 0.22 | 0.8 | |
| Deep3DFacePre-training=AffectNet, Fine-tuning=AFEW-VA, Evaluation Protocol=5-fold Cross-Validation2022.04 | 0.64 | 0.59 | 0.21 | 0.65 | 0.55 | 0.48 | 0.21 | 0.81 | |
| EmoNetPre-training=AffectNet, Fine-tuning=AFEW-VA, Evaluation Protocol=5-fold Cross-Validation2022.04 | 0.59 | 0.54 | 0.22 | 0.61 | 0.55 | 0.49 | 0.22 | 0.8 | |
| DECAPre-training=AffectNet, Fine-tuning=AFEW-VA, Evaluation Protocol=5-fold Cross-Validation, Level=coarse2022.04 | 0.57 | 0.53 | 0.23 | 0.62 | 0.55 | 0.5 | 0.22 | 0.81 | |
| DECAPre-training=AffectNet, Fine-tuning=AFEW-VA, Evaluation Protocol=5-fold Cross-Validation, Level=with detail2022.04 | 0.57 | 0.53 | 0.23 | 0.63 | 0.53 | 0.49 | 0.22 | 0.8 | |
| MGCNetPre-training=AffectNet, Fine-tuning=AFEW-VA, Evaluation Protocol=5-fold Cross-Validation2022.04 | 0.54 | 0.5 | 0.23 | 0.62 | 0.49 | 0.44 | 0.23 | 0.79 | |
| 3DDFAPre-training=AffectNet, Fine-tuning=AFEW-VA, Evaluation Protocol=5-fold Cross-Validation2022.04 | 0.41 | 0.38 | 0.27 | 0.57 | 0.44 | 0.41 | 0.24 | 0.78 | |
| ExpNetPre-training=AffectNet, Fine-tuning=AFEW-VA, Evaluation Protocol=5-fold Cross-Validation2022.04 | 0.31 | 0.25 | 0.27 | 0.55 | 0.36 | 0.3 | 0.24 | 0.79 |