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CIFAR100

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationCIFAR100 (test)
Top-1 Accuracy93.4
407
Image ClassificationCIFAR100 long-tailed (test)
Accuracy66.3
155
Federated Image ClassificationCIFAR100 (test)
Accuracy70.78
144
Continual LearningCIFAR100 Split
Average Per-Task Accuracy95.38
117
Class Incremental LearningCIFAR100 (test)
Avg Acc78.45
116
Image classificationCIFAR100 (test)
Accuracy56.19
112
ClusteringCIFAR100 20
ACC61.4
93
OOD DetectionCIFAR100 Dfar
AUROC86.98
69
Image ClassificationCIFAR100 IDN (test)
Accuracy79.69
67
Class Incremental LearningCIFAR100 B50 (test)
Average Accuracy79.91
67
Continual LearningCIFAR100 Split 32x32 (test)
Accuracy30.1
66
Image ClassificationCIFAR100-LT (test)
Top-1 Acc (Avg)62.1
65
Image ClassificationCIFAR100 (test)
Accuracy92.21
63
Out-of-Distribution DetectionCIFAR100 LT
AUC82.61
62
Image ClassificationCIFAR100 UnLabel-Domain (UL)
Accuracy61.8
52
Image ClassificationCIFAR100 Labeled-Domain (L)
Accuracy76.4
52
Image ClassificationCIFAR100 10 tasks (test)
Accuracy49.7
51
Continual LearningCIFAR100 10 tasks (test)
Average Forgetting Rate5.6
51
Image ClassificationCIFAR100 (test)
Error Rate19.01
49
Image ClassificationCifar100 LT
F1 Score86.4
48
Image ClassificationCIFAR100 (test)
Accuracy80.6
48
Class-Incremental LearningCIFAR100-LT rho=100 (test)
Avg Acc40.26
48
Semi-supervised Image ClassificationCIFAR100-LT (test)
Accuracy0.613
48
Partial Label LearningCIFAR100-LT
Accuracy64.75
48
Image ClassificationCIFAR100 Clean (test)
Accuracy83.09
48
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