AgeNet

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 ReconstructiononChaLearn 2015
e-error
0.270685
best: 0.250651 (MetaAge)
3D Face ReconstructiononChaLearn 2015
e-error
0.270685
best: 0.250651 (MetaAge)
Age EstimationonChaLearn 2015
e-error
0.270685
best: 0.250651 (MetaAge)

Music1 result

Facial Recognition and ModellingonChaLearn 2015
e-error
0.270685
best: 0.250651 (MetaAge)

Methodology1 result

3DonChaLearn 2015
e-error
0.270685
best: 0.250651 (MetaAge)

Medical1 result

3D Face ModellingonChaLearn 2015
e-error
0.270685
best: 0.250651 (MetaAge)