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Models/UNIORD-ResNet-101 (single crop, pytorch)

UNIORD-ResNet-101 (single crop, pytorch)

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 Vision2 results

Face ReconstructiononAdience Age
Accuracy (5-fold)· 2020-11-15
61
best: 84.91 (ViT-hSeq)
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities arXiv:2011.07607
3D Face ReconstructiononAdience Age
Accuracy (5-fold)· 2020-11-15
61
best: 84.91 (ViT-hSeq)
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities arXiv:2011.07607

Music1 result

Facial Recognition and ModellingonAdience Age
Accuracy (5-fold)· 2020-11-15
61
best: 84.91 (ViT-hSeq)
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities arXiv:2011.07607

Methodology1 result

3DonAdience Age
Accuracy (5-fold)· 2020-11-15
61
best: 84.91 (ViT-hSeq)
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities arXiv:2011.07607

Medical1 result

3D Face ModellingonAdience Age
Accuracy (5-fold)· 2020-11-15
61
best: 84.91 (ViT-hSeq)
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities arXiv:2011.07607

Natural Language Processing1 result

Age And Gender ClassificationonAdience Age
Accuracy (5-fold)· 2020-11-15
61
best: 84.91 (ViT-hSeq)
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities arXiv:2011.07607