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Models/Zhu et al. (Actual)

Zhu et al. (Actual)

Reported on 6 benchmarks across 6 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision3 results

Face ReconstructiononFGNET
MAE· 2018-04-08
4.58
best: 2.23 (MWR)
Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression arXiv:1804.02740
3D Face ReconstructiononFGNET
MAE· 2018-04-08
4.58
best: 2.23 (MWR)
Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression arXiv:1804.02740
Age EstimationonFGNET
MAE· 2018-04-08
4.58
best: 2.23 (MWR)
Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression arXiv:1804.02740

Music1 result

Facial Recognition and ModellingonFGNET
MAE· 2018-04-08
4.58
best: 2.23 (MWR)
Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression arXiv:1804.02740

Methodology1 result

3DonFGNET
MAE· 2018-04-08
4.58
best: 2.23 (MWR)
Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression arXiv:1804.02740

Medical1 result

3D Face ModellingonFGNET
MAE· 2018-04-08
4.58
best: 2.23 (MWR)
Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression arXiv:1804.02740