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CIFAR10

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationCIFAR10 (test)
Accuracy99.5
585
ClassificationCIFAR10 (test)
Accuracy97.42
331
Image GenerationCIFAR10 32x32 (test)
FID1.1
186
Image ClassificationCIFAR10 non-iid
Accuracy88.1
162
Graph ClassificationCIFAR10 (test)
Test Accuracy76.903
162
Image ClassificationCIFAR10 LT (test)
Accuracy86.7
106
Two-Sample TestingCIFAR10-RES18 (test)
Test Power100
97
Image Classification CalibrationCIFAR10
Classwise ECE0.33
84
Image GenerationCIFAR10 50k samples (test)
FID1.79
81
Image GenerationCIFAR10 (train)
FID0.02
77
Image ClassificationCIFAR10 (test)
Accuracy98.1
76
Image ClassificationCIFAR10-C (test)
Accuracy (Gaussian)89.94
72
Image ClassificationCIFAR10 long-tailed (test)
Accuracy85.5
68
Image ClassificationCIFAR10 IDN (test)
Accuracy96.68
67
Continual LearningSplit CIFAR10 32x32 (test)
Accuracy60.1
66
Sequential Image ClassificationSequential CIFAR10
Accuracy91.13
60
Image ClassificationCIFAR10-C
Mean Accuracy (mAcc)84.68
52
Image ClassificationCIFAR10 (val)
Accuracy99.29
51
Image ClassificationCIFAR10 5 tasks (test)
Accuracy69.1
51
Continual LearningCIFAR10 5 tasks (test)
Avg Forgetting Rate10
51
Two-Sample TestingCIFAR10-WRN8
Test Power100
49
Two-Sample TestingCIFAR10 WRN28
Test Power66.9
49
Image ClassificationCIFAR10 (test)
Test Accuracy94.7
49
Image ClassificationCIFAR10
Training Loss0.02
48
Data ValuationCIFAR10
Provider Influence (Mean)0.508
48
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