ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet sub-tasks S1-S3 (10 classes)
97Accuracy (S1/10)
17
ImageNet (val)
0.159Test Error
17
ImageNet1K Extending classes setting 1.0
61.61CMC Top-1
17
Tiny-ImageNet
33.24Accuracy
17
ImageNet 64x64 (train test)
1.12FID
17
ImageNet (val)
61.7Adversarial Accuracy
17
ImageNet OOD Aggregate Average
0.884AUROC
17
Tiny-ImageNet (10% random data forgetting)
51.06Unlearning Accuracy (UA)
17
ImageNet-A-R-S-V2 vs original ImageNet (variant of setup-iii)
80.1AUC
17
ImageNet
76AUC
17
ImageNet
104.89PSNR
17
ImageNet-1K standard (val)
47.4Top-1 Accuracy
17
ImageNet HR
92.8Top-1 Accuracy
17
ImageNet-1K Regular (val)
0.845Top-1 Accuracy
17
ImageNet OOD (Avg of V2, R, Sketch, A, and ObjectNet) 1.0 (test)
51.6Top-1 Acc
17
TinyImageNet
76.6Clean Accuracy
17
ImageNet
28.138PSNR
17
ImageNet-S
6.785Selection
17
ImageNet & Variants
73.23Accuracy
17
ImageNet-1K (test)
0.53MSE
17
ImageNet
29.726PSNR
17
ImageNet-1K
0.28rFID
17
ImageNet (test)
76.46Average Success Rate
17
ImageNet 1K (val)
82.2Top-1 Accuracy
17
ImageNet-1k 1.0 (val)
4.1FID
17