OpenCodePapers
face-identification-on-megaface
3D Face Reconstruction
Facial Recognition and Modelling
Face Identification
Results over time
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Paper
Code
Accuracy
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ModelName
ReleaseDate
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Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
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99.27%
Cos+UNPG
2022-03-22
Partial FC: Training 10 Million Identities on a Single Machine
✓ Link
99.10%
PartialFC + Glint360K + R100
2020-10-11
Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
✓ Link
98.82%
Arc+UNPG
2022-03-22
Deep Polynomial Neural Networks
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98.78%
Prodpoly
2020-06-20
GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
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98.64%
GhostFaceNetV2-1
2023-04-10
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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98.35%
ArcFace + MS1MV2 + R100 + R
2018-01-23
Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
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98.03%
Mag+UNPG
2022-03-22
Support Vector Guided Softmax Loss for Face Recognition
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97.2%
SV-AM-Softmax
2018-12-29
CosFace: Large Margin Cosine Loss for Deep Face Recognition
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82.72%
CosFace
2018-01-29
SphereFace: Deep Hypersphere Embedding for Face Recognition
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75.766%
SphereFace (3-patch ensemble)
2017-04-26
A Light CNN for Deep Face Representation with Noisy Labels
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73.749%
Light CNN-29
2015-11-09
SphereFace: Deep Hypersphere Embedding for Face Recognition
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72.729%
SphereFace (single model)
2017-04-26
FaceNet: A Unified Embedding for Face Recognition and Clustering
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70.49%
FaceNet
2015-03-12