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tinyimagenet

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationTinyImageNet (test)
Accuracy90.23
440
Image ClassificationTinyImageNet (val)
Accuracy90.65
289
Image ClassificationTinyImageNet-200
Top-1 Accuracy85.04
68
Model Inversion AttackTinyImageNet-200
Attack Accuracy37
60
Membership Inference AttackTinyImageNet 200
Balanced Accuracy79
60
Image ClassificationTinyImageNet (test)
Communication Rounds342
56
Image ClassificationTinyImageNet 100 tasks (test)
Accuracy33.2
51
Continual LearningTinyImageNet 100 tasks (test)
Average Forgetting Rate11.7
51
Multi-class classificationTinyImageNet Dirichlet non-IID setting (test)
Top-5 Acc52.9
33
Online Continual LearningTinyImageNet 100/2
Accuracy12.6
31
Generative Image SynthesisTinyImageNet
FID15.43
29
Generative Image SynthesisTinyImageNet BigGAN
FID14.15
29
Class-Incremental LearningTinyImageNet (test)
Accuracy52.77
29
Continual LearningTinyImageNet 25-split
ACC58.28
29
Accuracy EstimationTinyImageNet
MAE0.612
27
Image ClassificationTinyImageNet 200
Surrogate Model Accuracy90.88
26
Class-Incremental LearningTinyImageNet Seq
FAA29.06
24
Continual LearningTinyImageNet Split 10 sequential tasks (test)
Final Forgetting0
24
Image ClassificationTinyImageNet (test)
Accuracy64.23
24
Membership InferenceTinyImageNet
Loss0.51
23
Communication OverheadTinyImageNet (test)
Upload Size20.48
21
Online Continual LearningTinyImageNet Sequential (test)
Accuracy15.97
21
Exemplar-Free Class-Incremental LearningTinyImageNet (test)
Avg Increment36.5
18
Open-set recognitionTinyImageNet 20 closed, 180 open classes 1.0
AUROC86.7
18
Image ClassificationTinyImageNet et = 1/255 (val)
Standard Error74.29
18
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