R-SAAFc2 +IMDB-WIKI

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 Vision2 results

Face ReconstructiononAdience Age
Accuracy (5-fold)· uses extra data
67.3
best: 84.91 (ViT-hSeq)
3D Face ReconstructiononAdience Age
Accuracy (5-fold)· uses extra data
67.3
best: 84.91 (ViT-hSeq)

Music1 result

Facial Recognition and ModellingonAdience Age
Accuracy (5-fold)· uses extra data
67.3
best: 84.91 (ViT-hSeq)

Methodology1 result

3DonAdience Age
Accuracy (5-fold)· uses extra data
67.3
best: 84.91 (ViT-hSeq)

Medical1 result

3D Face ModellingonAdience Age
Accuracy (5-fold)· uses extra data
67.3
best: 84.91 (ViT-hSeq)

Natural Language Processing1 result

Age And Gender ClassificationonAdience Age
Accuracy (5-fold)· uses extra data
67.3
best: 84.91 (ViT-hSeq)