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STL10

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationSTL10
Accuracy99.6
60
Image ClassificationSTL10 (test)
Error Rate (%)4.82
53
Image ClassificationSTL10-LT (gamma_l = 10) (test)
Accuracy84.2
42
Image ClassificationSTL10-LT (test)
Accuracy84.8
36
Image ClassificationSTL10 (val)
Accuracy98
33
Image ClassificationSTL10 gamma_l = 20 long-tail (test)
Accuracy82.3
26
Semi-supervised Long-tailed Image ClassificationSTL10 LT
Accuracy79
24
Image ClassificationSTL10 Dp: ImageNet (test)
BA82.94
22
Debugging Effectiveness EstimationSTL10
ATPF88.67
21
ClusteringSTL10 small-scale (val)
NMI99.2
17
Image ClusteringSTL10 (labelled)
Accuracy59.8
17
Image ClassificationSTL10 (Nl=150, M=100k, γl=10) long-tailed (test)
Accuracy71.3
16
Image ClassificationSTL10 43 (test)
Accuracy77.45
15
Image GenerationSTL10
Inception Score10.41
15
Generative ModelingSTL10 96x96 (test)
FID77.24
12
Model Stealing AttackSTL10
Agreement94.2
11
Adversarial RobustnessSTL10 (test)
Baseline Acc82.07
10
Zero-shot ClassificationSTL10
Top-1 Clean Acc97.6
10
Attacking Non-Transferable LearningSTL10 to CIFAR10 (test)
Accuracy (Authorized Domain)88.3
10
Image ClassificationSTL10 C8-augmented (test)
C8-Avg Accuracy96.37
10
Image ClassificationSTL10 original (test)
Accuracy98.31
10
Unsupervised image clusteringSTL10 (unlabeled)
Accuracy59.6
9
Image ClassificationSTL10 downstream
Classification Accuracy95.68
8
Image ClassificationSTL10-scale non-ideal downsampling
Accuracy72.62
8
Image ClassificationSTL10 scale (test)
Accuracy73.32
8
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