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Face Recognition
벤치마크
Face Recognition on
LFW
96개 결과 ·
⬇ CSV
·
JSON
Accuracy
0.945
0.9584
0.9718
0.9853
0.9987
2020-02
2026-09
CircleLoss — 0.9973 (2020-02-25)
CircleLoss — 0.9973 (2020-02-25)
CircleLoss — 0.9973 (2020-02-25)
CircleLoss — 0.9973 (2020-02-25)
CircleLoss — 0.9973 (2020-02-25)
CircleLoss — 0.9973 (2020-02-25)
Prodpoly — 0.99833 (2020-06-20)
Prodpoly — 0.99833 (2020-06-20)
Prodpoly — 0.99833 (2020-06-20)
Prodpoly — 0.99833 (2020-06-20)
Prodpoly — 0.99833 (2020-06-20)
Prodpoly — 0.99833 (2020-06-20)
DiscFace — 0.9983 (2020-11-30)
DiscFace — 0.9983 (2020-11-30)
DiscFace — 0.9983 (2020-11-30)
DiscFace — 0.9983 (2020-11-30)
DiscFace — 0.9983 (2020-11-30)
DiscFace — 0.9983 (2020-11-30)
DCQ — 0.998 (2021-05-24)
DCQ — 0.998 (2021-05-24)
DCQ — 0.998 (2021-05-24)
DCQ — 0.998 (2021-05-24)
DCQ — 0.998 (2021-05-24)
DCQ — 0.998 (2021-05-24)
QMagFace — 0.985 (2021-11-26)
QMagFace — 0.985 (2021-11-26)
QMagFace — 0.985 (2021-11-26)
QMagFace — 0.985 (2021-11-26)
QMagFace — 0.985 (2021-11-26)
QMagFace — 0.985 (2021-11-26)
ArcFace + MS1MV2 + R100 — 0.9983 (2022-04-03)
AdaFace + WebFace4M + R100 — 0.998 (2022-04-03)
ArcFace + MS1MV2 + R100 — 0.9983 (2022-04-03)
AdaFace + WebFace4M + R100 — 0.998 (2022-04-03)
ArcFace + MS1MV2 + R100 — 0.9983 (2022-04-03)
AdaFace + WebFace4M + R100 — 0.998 (2022-04-03)
ArcFace + MS1MV2 + R100 — 0.9983 (2022-04-03)
AdaFace + WebFace4M + R100 — 0.998 (2022-04-03)
ArcFace + MS1MV2 + R100 — 0.9983 (2022-04-03)
AdaFace + WebFace4M + R100 — 0.998 (2022-04-03)
ArcFace + MS1MV2 + R100 — 0.9983 (2022-04-03)
AdaFace + WebFace4M + R100 — 0.998 (2022-04-03)
FaceTransformer+OctupletLoss — 0.9973 (2022-07-14)
FaceTransformer+OctupletLoss — 0.9973 (2022-07-14)
FaceTransformer+OctupletLoss — 0.9973 (2022-07-14)
FaceTransformer+OctupletLoss — 0.9973 (2022-07-14)
FaceTransformer+OctupletLoss — 0.9973 (2022-07-14)
FaceTransformer+OctupletLoss — 0.9973 (2022-07-14)
OcularAI-Face — 0.945 (2023-03-24)
OcularAI-Face — 0.945 (2023-03-24)
OcularAI-Face — 0.945 (2023-03-24)
OcularAI-Face — 0.945 (2023-03-24)
OcularAI-Face — 0.945 (2023-03-24)
OcularAI-Face — 0.945 (2023-03-24)
GhostFaceNetV2-1 (MS1MV3) — 0.998667 (2023-04-10)
GhostFaceNetV2-1 (MS1MV3) — 0.998667 (2023-04-10)
GhostFaceNetV2-1 (MS1MV3) — 0.998667 (2023-04-10)
GhostFaceNetV2-1 (MS1MV3) — 0.998667 (2023-04-10)
GhostFaceNetV2-1 (MS1MV3) — 0.998667 (2023-04-10)
GhostFaceNetV2-1 (MS1MV3) — 0.998667 (2023-04-10)
EdgeFace - S (g=0.5) — 0.9978 (2023-07-04)
EdgeFace - XS (g=0.6) — 0.9973 (2023-07-04)
EdgeFace - S (g=0.5) — 0.9978 (2023-07-04)
EdgeFace - XS (g=0.6) — 0.9973 (2023-07-04)
EdgeFace - S (g=0.5) — 0.9978 (2023-07-04)
EdgeFace - XS (g=0.6) — 0.9973 (2023-07-04)
EdgeFace - S (g=0.5) — 0.9978 (2023-07-04)
EdgeFace - XS (g=0.6) — 0.9973 (2023-07-04)
EdgeFace - S (g=0.5) — 0.9978 (2023-07-04)
EdgeFace - XS (g=0.6) — 0.9973 (2023-07-04)
EdgeFace - S (g=0.5) — 0.9978 (2023-07-04)
EdgeFace - XS (g=0.6) — 0.9973 (2023-07-04)
SymFace + AdaFace + ResNet100 +WebFace (MS1MV2) — 0.9985 (2024-09-18)
SymFace + AdaFace + ResNet100 +WebFace (MS1MV2) — 0.9985 (2024-09-18)
SymFace + AdaFace + ResNet100 +WebFace (MS1MV2) — 0.9985 (2024-09-18)
SymFace + AdaFace + ResNet100 +WebFace (MS1MV2) — 0.9985 (2024-09-18)
SymFace + AdaFace + ResNet100 +WebFace (MS1MV2) — 0.9985 (2024-09-18)
SymFace + AdaFace + ResNet100 +WebFace (MS1MV2) — 0.9985 (2024-09-18)
CircleLoss — 0.9973 (2020-02-25)
Prodpoly — 0.99833 (2020-06-20)
GhostFaceNetV2-1 (MS1MV3) — 0.998667 (2023-04-10)
2020-02-25 — CircleLoss: Accuracy 0.9973
2020-06-20 — Prodpoly: Accuracy 0.99833
2023-04-10 — GhostFaceNetV2-1 (MS1MV3): Accuracy 0.998667
Rank
Model
Accuracy
FNMR [%] @ 10-3 FMR
F1-score
Precision
Recall
Extra Training Data
Paper
Code
Year
1
GhostFaceNetV2-1 (MS1MV3)
0.998667
–
–
–
–
✓
GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
serengil/deepface
·
Faceplugin-ltd/FaceRecognition-Android
·
HamadYA/GhostFaceNets
·
+4
2023
2
SymFace + AdaFace + ResNet100 +WebFace (MS1MV2)
0.9985
–
–
–
–
✓
SymFace: Additional Facial Symmetry Loss for Deep Face Recognition
2024
3
Prodpoly
0.99833
–
–
–
–
✓
Deep Polynomial Neural Networks
Faceplugin-ltd/FaceRecognition-Android
·
FaceOnLive/Face-Recognition-SDK-Android
·
grigorisg9gr/polynomial_nets
·
+2
2020
4
DiscFace
0.9983
–
–
–
–
✓
DiscFace: Minimum Discrepancy Learning for Deep Face Recognition
2020
4
ArcFace + MS1MV2 + R100
0.9983
–
–
–
–
✓
AdaFace: Quality Adaptive Margin for Face Recognition
mk-minchul/adaface
·
tomas-gajarsky/facetorch
·
Faceplugin-ltd/FaceRecognition-Android
·
+6
2022
6
DCQ
0.998
–
–
–
–
✓
Dynamic Class Queue for Large Scale Face Recognition In the Wild
bilylee/DCQ
2021
6
AdaFace + WebFace4M + R100
0.9980
–
–
–
–
✓
AdaFace: Quality Adaptive Margin for Face Recognition
mk-minchul/adaface
·
tomas-gajarsky/facetorch
·
Faceplugin-ltd/FaceRecognition-Android
·
+6
2022
8
EdgeFace - S (g=0.5)
0.9978
–
–
–
–
✓
EdgeFace: Efficient Face Recognition Model for Edge Devices
otroshi/edgeface
·
anjith2006/bob.paper.tbiom2023_edgeface
·
bob/bob.paper.tbiom2023_edgeface
2023
9
CircleLoss
0.9973
–
–
–
–
✓
Circle Loss: A Unified Perspective of Pair Similarity Optimization
layumi/Person_reID_baseline_pytorch
·
alibaba/EasyCV
·
TinyZeaMays/CircleLoss
·
+13
2020
9
FaceTransformer+OctupletLoss
0.9973
–
–
–
–
✓
Octuplet Loss: Make Face Recognition Robust to Image Resolution
Faceplugin-ltd/FaceRecognition-Android
·
martlgap/octuplet-loss
2022
9
EdgeFace - XS (g=0.6)
0.9973
–
–
–
–
EdgeFace: Efficient Face Recognition Model for Edge Devices
otroshi/edgeface
·
anjith2006/bob.paper.tbiom2023_edgeface
·
bob/bob.paper.tbiom2023_edgeface
2023
12
QMagFace
0.9850
–
–
–
–
QMagFace: Simple and Accurate Quality-Aware Face Recognition
pterhoer/QMagFace
2021
13
OcularAI-Face
0.945
–
0.9421
0.9934
0.896
MagicEye: An Intelligent Wearable Towards Independent Living of Visually Impaired
gauravreddy08/OcularAI
2023
14
PIC - MagFace
–
0.05
–
–
–
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition
Faceplugin-ltd/FaceRecognition-Android
·
FaceOnLive/Face-Recognition-SDK-Android
·
pterhoer/optimalmatchingconfidence
2022
15
PIC - QMagFace
–
0.05
–
–
–
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition
Faceplugin-ltd/FaceRecognition-Android
·
FaceOnLive/Face-Recognition-SDK-Android
·
pterhoer/optimalmatchingconfidence
2022
16
PIC - ArcFace
–
4.38
–
–
–
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition
Faceplugin-ltd/FaceRecognition-Android
·
FaceOnLive/Face-Recognition-SDK-Android
·
pterhoer/optimalmatchingconfidence
2022
17
GhostFaceNetV2-1 (MS1MV3)
0.998667
–
–
–
–
✓
GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
serengil/deepface
·
Faceplugin-ltd/FaceRecognition-Android
·
HamadYA/GhostFaceNets
·
+4
2023
18
SymFace + AdaFace + ResNet100 +WebFace (MS1MV2)
0.9985
–
–
–
–
✓
SymFace: Additional Facial Symmetry Loss for Deep Face Recognition
2024
19
Prodpoly
0.99833
–
–
–
–
✓
Deep Polynomial Neural Networks
Faceplugin-ltd/FaceRecognition-Android
·
FaceOnLive/Face-Recognition-SDK-Android
·
grigorisg9gr/polynomial_nets
·
+2
2020
20
DiscFace
0.9983
–
–
–
–
✓
DiscFace: Minimum Discrepancy Learning for Deep Face Recognition
2020
1–20 / 96
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