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/SymFace + AdaFace + ResNet100 +WebFace (MS1MV2)

SymFace + AdaFace + ResNet100 +WebFace (MS1MV2)

Reported on 6 benchmarks across 6 tasks · 1 paper · 6 SOTA

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

Computer Vision2 results

Face ReconstructiononLFW
Accuracy· uses extra data· 2024-09-18
0.9985
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
SOTA
SymFace: Additional Facial Symmetry Loss for Deep Face Recognition arXiv:2409.11816
3D Face ReconstructiononLFW
Accuracy· uses extra data· 2024-09-18
0.9985
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
SOTA
SymFace: Additional Facial Symmetry Loss for Deep Face Recognition arXiv:2409.11816

Methodology2 results

Face RecognitiononLFW
Accuracy· uses extra data· 2024-09-18
0.9985
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
SOTA
SymFace: Additional Facial Symmetry Loss for Deep Face Recognition arXiv:2409.11816
3DonLFW
Accuracy· uses extra data· 2024-09-18
0.9985
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
SOTA
SymFace: Additional Facial Symmetry Loss for Deep Face Recognition arXiv:2409.11816

Music1 result

Facial Recognition and ModellingonLFW
Accuracy· uses extra data· 2024-09-18
0.9985
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
SOTA
SymFace: Additional Facial Symmetry Loss for Deep Face Recognition arXiv:2409.11816

Medical1 result

3D Face ModellingonLFW
Accuracy· uses extra data· 2024-09-18
0.9985
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
SOTA
SymFace: Additional Facial Symmetry Loss for Deep Face Recognition arXiv:2409.11816