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Tiny-ImageNet

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationTiny-ImageNet 1.0 (test)
Accuracy (Natural)67.64
75
Adversarial AttackTiny-ImageNet (val)
Median L2 Distance0.113
64
Continual LearningTiny-ImageNet (test)
Relative Forgetting0.2724
36
Image ClassificationTiny-ImageNet Dirichlet-0.05 (test)
Accuracy54
32
Image ClassificationTiny ImageNet 64x64 (test)
Accuracy29.6
27
Image ClassificationTiny-ImageNet heterogeneous (test)
Accuracy54.25
24
Continual LearningS-Tiny-ImageNet (last)
TIL Last Top-1 Acc82.04
24
Image ClassificationS-Tiny-ImageNet Task-IL
Accuracy82.04
24
Image ClassificationS-Tiny-ImageNet Class-IL
Accuracy59.99
23
Near-OOD DetectionTiny ImageNet Near-OOD (test)
FPR@9526.53
22
Class-incremental Continual LearningTiny-ImageNet Split (test)
Average Accuracy (AT)59.99
22
Task-incremental learningSplit Tiny-ImageNet (test)
Average Accuracy (A_T)82.04
22
Image ClassificationTiny-ImageNet LT (test)
Accuracy (Dogs)94.67
20
ClassificationTiny ImageNet 200 (test)
Test Accuracy66.16
16
Offline Class-Incremental Continual LearningTiny-ImageNet Sequential
Accuracy35.68
15
Backdoor DefenseTiny-ImageNet SSBA (test)
C-Acc73.88
13
Backdoor DefenseTiny-ImageNet Blended (test)
Clean Accuracy73.88
13
Image ClusteringTiny-ImageNet 200 (test)
Accuracy45.4
13
Image GenerationTiny-ImageNet (val)
FID14.25
13
Image ClassificationTiny-ImageNet 202 (test)
Top-1 Accuracy87.52
13
Class Incremental LearningTiny-ImageNet B40 Inc40
Avg Performance (A-bar)55.31
12
Federated Learning ClassificationTiny-ImageNet non-iid Dirichlet 0.6 (test)
Accuracy0.3607
12
Federated Learning ClassificationTiny-ImageNet non-iid Dirichlet 0.3 (test)
Accuracy35.7
12
Machine UnlearningTiny-Imagenet Random Forget 30%, γ=1/3 (test)
FA95.85
11
Machine UnlearningTiny-Imagenet Random Forget 50%, γ=0 (test)
FA95.68
11
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