RUL (ResNet-18)

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

Face ReconstructiononRAF-DB
Overall Accuracy
88.98
best: 94.76 (ResEmoteNet)
Facial Expression Recognition (FER)onRAF-DB
Overall Accuracy
88.98
best: 94.76 (ResEmoteNet)
3D Face ReconstructiononRAF-DB
Overall Accuracy
88.98
best: 94.76 (ResEmoteNet)

Music1 result

Facial Recognition and ModellingonRAF-DB
Overall Accuracy
88.98
best: 94.76 (ResEmoteNet)

Methodology1 result

3DonRAF-DB
Overall Accuracy
88.98
best: 94.76 (ResEmoteNet)

Medical1 result

3D Face ModellingonRAF-DB
Overall Accuracy
88.98
best: 94.76 (ResEmoteNet)