ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Tiny-ImageNet Pathological c=10 (test)
49.16Test Accuracy
10
Tiny-ImageNet Dirichlet alpha=0.3 (test)
18.18Test Accuracy
10
TinyImageNet (TinyIN)
0Average Gap
10
ImageNet
66.9A.D
10
Tiny-ImageNet
54.06Accuracy (Dir-0.6)
9
ImageNet-1K 1.0 (val)
77.83Accuracy
9
Mini-ImageNet (test)
76.37Clean Accuracy
9
ImageNet 256x256
0.06KD (All)
9
ImageNet ID Average OOD (test)
97.89AUROC
9
ImageNet-C
94.67AUROC
9
ImageNet 64
28.17PSNR
9
ImageNet-64
29.68PSNR
9
ImageNet 64
22.78PSNR
9
ImageNet-64
23.6PSNR
9
ImageNet 64
26.6PSNR
9
ImageNet-1K (val)
84.7Top-1 Accuracy
9
ImageNet (test)
80.96Top-1 Accuracy
9
ImageNet-R
87.9Top-1 Accuracy (Clean)
9
ImageNet backbones V2 (val)
82.28Top-1 Accuracy
9
ImageNet 100
47.6Accuracy (ACC)
9
Tiny-ImageNet
18.36Clustering Accuracy (ACC)
9
mini-ImageNet (test)
3.82Average Prediction Set Size
9
ImageNet (test)
1.8Average Prediction Set Size
9
Mini-ImageNet
4.28Number of Superclasses
9
ImageNet 256 x 256
160.1Inception Score (IS)
9