ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet-1K (val)
0.044MSE
4
ImageNet 16-shot (test)
66.46Accuracy
4
ImageNet 200 images (test)
2.64MAE
4
ImageNet 256×256 (test val)
2.453FID
4
ImageNet-100 (test)
20.19Selective Classification Error
4
Tiny-ImageNet
110BA
4
ImageNet-1K-KR
87.18Df
4
ImageNet-1K
87.8Df
4
ImageNet (test val)
20.04PSNR
4
ImageNet-100 (pre-training)
77.87Accuracy
4
ImageNet-1k 1.0 (test)
62.4Accuracy (All)
4
ImageNet 128
0.94rFID
4
ImageNet epsilon=4/255 (val)
74.52Attack Success Rate
4
mini-ImageNet
25.3Accuracy
4
ImageNet (test)
42.24Relative Improvement RG(ŷ)(0-1), eps=0.01
4
ImageNet 1k (val)
55.16Rel Imp RG(ŷ)(0-1) ε=0.01
4
ImageNet zero-shot
0.942Average Loss
4
ImageNet
77.5Base Accuracy
4
ImageNet LT (iNaturalist) a8
86.15AUROC
4
ImageNet (test)
68.4Clean Accuracy
4
ImageNet (test)
72.4Accuracy
4
BREEDS-structured ImageNet-1k (test)
73.8Level 1 Score
4
ImageNet 1K (test)
26.02PSNR
4
ImageNet
71.87Accuracy
4
ImageNet
68.36Leaf Accuracy
4