Our new X account is live! Follow @wizwand_team for updates
Home
/
Benchmarks
Face Retrieval on VGGFace2
Loading...
89.1
mAP
Original
86.0528
86.8439
87.635
88.4261
Dec 15, 2025
mAP
R@1
Updated 4d ago
Evaluation Results
Method
Method
Links
mAP
R@1
Original
Backbone=IResNet-50
2025.12
89.1
98.8
Contrastive Unlearning
lambda_retain=0
2025.12
89
98.8
Random Labeling
lambda_retain=1
2025.12
88.4
98.8
Gradient Ascent
learning rate=1e-5
2025.12
88.03
98.8
Dispersion Loss
learning rate=1e-4, ma...
2025.12
87.5
98.8
Hard Dispersion Loss
learning rate=1e-4, ma...
2025.12
87.47
98.8
Boundary Shrink
learning rate=1e-5
2025.12
87.03
98.73
Lipschitz Unlearning
lambda_retain=0.05
2025.12
86.17
98.73
Feedback
Search any
task
Search any
task