ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet (val)
26.49PSNR
10
ImageNet & Variants (test)
58.69Zero-shot Accuracy (ImageNet & Variants)
10
ImageNetR-LT 5-task setting
75.34AMean
10
ImageNet-100 20-task setting (test)
51.08Average Mean Accuracy
10
ImageNet-100 10-task setting (test)
57.05AMean
10
Tiny ImageNet Label Shift
89.1Accuracy
10
ImageNet
71.5Clean Accuracy
10
ImageNet-R
35.97mAP (Cartoon)
10
ImageNet V2
69.71Accuracy
10
miniImageNet to Cars (test)
0.3711-shot Accuracy
10
ImageNet
80.8Accuracy
10
ImageNet30
89.6Accuracy (Severity 0)
10
ImageNet
2.57FID
10
Tiny ImageNet (train/test)
1Train Accuracy
10
Tiny-ImageNet 1% forgetting (test)
99.67Acc (Train Residual)
10
ImageNet-1K ResNet-50 (test)
78.22Near-OOD AUROC
10
ImageNet noise level sigma=0.9 (val)
26.7PSNR
10
ImageNet noise level sigma=0.5 (val)
29.1PSNR
10
ImageNet noise level sigma=0.1 (val)
34PSNR
10
Tiny ImageNet
53Coverage
10
Tiny-ImageNet (OOD)
76Top-1 Accuracy
10
ImageNet 1k (val)
69.46Top-1 Accuracy
10
ImageNet distribution shift 1k A K R V (val test)
65.55Top-1 Acc (ImageNet)
10
ImageNet 1k (val)
88.43Grid PG
10
ImageNet-K
48.75Top-1 Acc
10