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Image Classification on CIFAR-10 (Accuracy vs Images Per Class)
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71.6
Accuracy (IPC=50)
MTT
46.536
53.043
59.55
66.057
Feb 24, 2026
Accuracy (IPC=50)
Accuracy (IPC=10)
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy (IPC=50)
Accuracy (IPC=10)
MTT
Backbone=ResNet-18
2026.02
71.6
65.3
Ours
Backbone=ResNet-18
2026.02
70.9
67.4
DM
Backbone=ResNet-18
2026.02
63
53.9
G-VBSM
Backbone=ResNet-18
2026.02
59.2
53.5
SRe2L
Backbone=ResNet-18
2026.02
47.5
27.2
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