Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/RetinaFace + ArcFace + MLP + IC + Skip connections

RetinaFace + ArcFace + MLP + IC + Skip connections

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)· uses extra data· 2021-08-18
60.86
best: 84.91 (ViT-hSeq)
Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections arXiv:2108.08186
3D Face ReconstructiononAdience Age
Accuracy (5-fold)· uses extra data· 2021-08-18
60.86
best: 84.91 (ViT-hSeq)
Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections arXiv:2108.08186

Music1 result

Facial Recognition and ModellingonAdience Age
Accuracy (5-fold)· uses extra data· 2021-08-18
60.86
best: 84.91 (ViT-hSeq)
Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections arXiv:2108.08186

Methodology1 result

3DonAdience Age
Accuracy (5-fold)· uses extra data· 2021-08-18
60.86
best: 84.91 (ViT-hSeq)
Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections arXiv:2108.08186

Medical1 result

3D Face ModellingonAdience Age
Accuracy (5-fold)· uses extra data· 2021-08-18
60.86
best: 84.91 (ViT-hSeq)
Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections arXiv:2108.08186

Natural Language Processing1 result

Age And Gender ClassificationonAdience Age
Accuracy (5-fold)· uses extra data· 2021-08-18
60.86
best: 84.91 (ViT-hSeq)
Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections arXiv:2108.08186