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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
Task-incremental learningTiny-ImageNet 20 tasks
Average Accuracy67.95
54
ClassificationTiny ImageNet 200 (test)
Test Accuracy66.16
53
Machine UnlearningTiny-ImageNet 1 class (forget)
Retain Accuracy66.52
48
Image ClassificationTiny-ImageNet-C 30% corrupted (test)
Accuracy43.7
45
Image ClassificationSeq-Tiny-ImageNet
Final Average Accuracy69.77
44
Continual LearningTiny-ImageNet (test)
Relative Forgetting0.2724
36
Image ClassificationTiny-ImageNet Dirichlet-0.05 (test)
Accuracy54
32
Class Incremental LearningTiny-ImageNet 10 tasks
Accuracy49.4
31
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
Machine UnlearningTiny-ImageNet 20 classes (forget)
Accuracy66.08
21
Machine UnlearningTiny-ImageNet 1 class forget (Retain set)
Accuracy66.52
21
Image ClassificationTiny-ImageNet LT (test)
Accuracy (Dogs)94.67
20
Machine UnlearningTiny-Imagenet Random Forget 50%, γ=0 (test)
MIA4.32
19
Class-Incremental LearningTiny-ImageNet Split
Accuracy25.15
17
Image Classification UnlearningTiny ImageNet 30% class-wise forgetting
Accuracy (Train Retained)92.7
16
Image ClassificationTiny-ImageNet Bucket 1 Forget
Accuracy81.2
15
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