Arousal Estimation on AffectNet (test)
0.54CCCVGG-FACE trained using the proposed approach
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| VGG-FACE trained using the proposed approachNetworks=VGG-FACE trained using the proposed approach2018.11 | 0.54 | 0.55 | 0.75 | 0.15 | |
| VGG-FACE trained using GanimationNetworks=VGG-FACE trained using Ganimation2018.11 | 0.45 | 0.51 | 0.74 | 0.16 | |
| VGG-FACE trained using StarGANNetworks=VGG-FACE trained using StarGAN2018.11 | 0.42 | 0.49 | 0.73 | 0.16 | |
| VGG-FACE baselineNetworks=the VGG-FACE baseline2018.11 | 0.37 | 0.48 | 0.6 | 0.18 | |
| AlexNetNetworks=AlexNet2018.11 | 0.34 | 0.54 | 0.65 | 0.17 |