ImageNet
Benchmarks
TaskDatasetSOTA resultTrendResults
ImageNet RobustBench (val)
76.62Clean Accuracy
42
ImageNet 10 (test)
97.2Accuracy
42
MiniImageNet Split
71.16Accuracy
42
ImageNet 256 × 256 (train test)
1.12gFID
41
ImageNet-1K 256x256 (train val)
2.06FID
41
ImageNet
0.99SSIM
41
ImageNet VID v1.0 (val)
93.2AP50
41
ImageNet-1K standard (val test)
64.69Top-1 Accuracy
41
ImageNet1K (val)
83.1Top-1 Accuracy
41
ImageNet 1k (val)
83.8Top-1 Acc
41
ImageNet-R Target
78.83Accuracy
41
mini-ImageNet
77.8Accuracy (1-shot)
41
ImageNet 1k (test val)
83.6Top-1 Accuracy
41
miniImageNet 5-way 1-shot (meta-test)
62.64Accuracy
41
ImageNet Real labels v1 (test)
90.9Top-1 Accuracy
41
Tiny-ImageNet (test)
40.5NMI
41
ImageNet
84.47Group Accuracy (Top-1)
40
ImageNet-1K
1.293Insertion Score
40
ImageNet-1K misclassified cases
1.7Mean Score
40
ImageNet
1.06Median L2 Distortion
40
ImageNet 20% held-out split of 20,000 samples (val)
85Reconstruction Accuracy
40
ImageNet-1K ILSVRC2012 (val)
71.21AUPR 1
40
ImageNet-1K ILSVRC2012 (val)
68.12Deletion Score
40
ImageNet
76.19Accuracy
40
ImageNet (val)
0.89PCC
40