EmoAffectNet
Reported on 6 benchmarks across 6 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Computer Vision3 results
- Accuracy (7 emotion)· uses extra data66.49best: 72.93 (ResEmoteNet)
- Accuracy (7 emotion)· uses extra data66.49best: 72.93 (ResEmoteNet)
- Accuracy (7 emotion)· uses extra data66.49best: 72.93 (ResEmoteNet)
Music1 result
- Accuracy (7 emotion)· uses extra data66.49best: 72.93 (ResEmoteNet)
Methodology1 result
Medical1 result
- Accuracy (7 emotion)· uses extra data66.49best: 72.93 (ResEmoteNet)