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tinyimagenet

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationTinyImageNet (test)
Accuracy90.23
499
Image ClassificationTinyImageNet (val)
Accuracy90.65
289
Image ClassificationTinyImageNet (test)
Wall Time0.1669
128
Image ClassificationTinyImageNet-200
Top-1 Accuracy85.04
68
Image ClassificationTinyImageNet
Wall Time0.1449
64
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
Image ClassificationTinyImageNet
Clean Accuracy63
30
Long-tailed Image ClassificationTinyImageNet long-tailed (test)
Naturalness (All Classes)50.57
30
Image ClassificationTinyImageNet-C
Accuracy41.8
30
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
Class-Incremental LearningTinyImageNet 10 steps 100 base classes (test)
Avg Accuracy80.55
27
Accuracy EstimationTinyImageNet
MAE0.612
27
Image ClassificationTinyImageNet 200
Surrogate Model Accuracy90.88
26
Class-Incremental LearningTinyImageNet Seq
Average Accuracy22.95
25
Continual LearningTinyImageNet Split 10 sequential tasks (test)
Final Forgetting0
24
Image ClassificationTinyImageNet (test)
Accuracy64.23
24
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