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Benchmarks
Machine Unlearning on Food
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81.16
Accuracy
Original
-2.0504
19.5523
41.155
62.7577
May 14, 2026
Accuracy
Updated 2mo ago
Evaluation Results
Method
Method
Links
Accuracy
Original
Backbone=RN101
2026.05
81.16
CLIP-LIP
Backbone=RN101
2026.05
79.05
ICED
Backbone=RN101
2026.05
78.58
CLIP-LIP
Backbone=RN50
2026.05
76.83
Original
Backbone=RN50
2026.05
76.49
ICED
Backbone=RN50
2026.05
75.15
TIFS
Backbone=RN101
2026.05
65.41
TIFS
Backbone=RN50
2026.05
63.41
EMMN
Backbone=RN50
2026.05
51.01
EMMN
Backbone=RN101
2026.05
44.1
GA
Backbone=RN101
2026.05
3.33
FT
Backbone=RN101
2026.05
3.31
LIP
Backbone=RN101
2026.05
2.27
Fisher
Backbone=RN50
2026.05
1.53
FT
Backbone=RN50
2026.05
1.5
Fisher
Backbone=RN101
2026.05
1.38
GA
Backbone=RN50
2026.05
1.24
LIP
Backbone=RN50
2026.05
1.15
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