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Face Retrieval on CelebA D_f (test)
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88.7
mAP
Original
13.092
32.721
52.35
71.979
Dec 15, 2025
mAP
R@1
Updated 4d ago
Evaluation Results
Method
Method
Links
mAP
R@1
Original
Backbone=IResNet-50
2025.12
88.7
98.17
Contrastive Unlearning
lambda_retain=0
2025.12
88.57
98.17
Random Labeling
lambda_retain=1
2025.12
87.73
98.17
Gradient Ascent
learning rate=1e-5
2025.12
86.8
98.17
Lipschitz Unlearning
lambda_retain=0.05
2025.12
84.57
97.93
Boundary Shrink
learning rate=1e-5
2025.12
60.23
96.53
Dispersion Loss
learning rate=1e-4, ma...
2025.12
17.83
67.37
Hard Dispersion Loss
learning rate=1e-4, ma...
2025.12
16
65.87
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