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Machine Unlearning on ObjectNet
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29.16
Accuracy
Original
-1.0624
6.7838
14.63
22.4762
May 14, 2026
Accuracy
Updated 2mo ago
Evaluation Results
Method
Method
Links
Accuracy
Original
Backbone=RN101
2026.05
29.16
CLIP-LIP
Backbone=RN101
2026.05
26.9
CLIP-LIP
Backbone=RN50
2026.05
25.95
Original
Backbone=RN50
2026.05
25.83
TIFS
Backbone=RN101
2026.05
24.55
ICED
Backbone=RN101
2026.05
24.52
ICED
Backbone=RN50
2026.05
23.14
TIFS
Backbone=RN50
2026.05
21.15
EMMN
Backbone=RN101
2026.05
10.93
EMMN
Backbone=RN50
2026.05
10.49
FT
Backbone=RN101
2026.05
1.91
GA
Backbone=RN101
2026.05
1.67
FT
Backbone=RN50
2026.05
0.82
GA
Backbone=RN50
2026.05
0.67
LIP
Backbone=RN50
2026.05
0.15
Fisher
Backbone=RN101
2026.05
0.12
LIP
Backbone=RN101
2026.05
0.12
Fisher
Backbone=RN50
2026.05
0.1
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