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SotA/Methodology/Face Recognition/CALFW

Face Recognition on CALFW

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼AugmentationsPaperDate↕Code
1Prodpoly0.96233NoDeep Polynomial Neural Networks2020-06-20Code
2ElasticFace-Arc0.9617NoElasticFace: Elastic Margin Loss for Deep Face R...2021-09-20Code
3GhostFaceNetV2-10.9612No--Code
4EdgeFace - S (g=0.5)0.9571NoEdgeFace: Efficient Face Recognition Model for E...2023-07-04Code
5PocketNetS0.955NoPocketNet: Extreme Lightweight Face Recognition ...2021-08-24Code
6EdgeFace - XS (g=0.6)0.9528NoEdgeFace: Efficient Face Recognition Model for E...2023-07-04Code
7SynthDistill0.9457NoSynthDistill: Face Recognition with Knowledge Di...2023-08-28Code
8IDiff-Face0.9065NoIDiff-Face: Synthetic-based Face Recognition thr...2023-08-09Code
9DigiFace-1M0.8255NoDigiFace-1M: 1 Million Digital Face Images for F...2022-10-05Code