ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet 1K (val)
84.3Accuracy
33
tiered-ImageNet (test)
79.741-shot Acc
33
ImageNet 1% labels 1.0 (val)
59.9Top-1 Acc
33
ImageNet 1.0 (10% labeled)
85.9Accuracy
33
ImageNet 1k (val)
32.27MoRF Score
33
ImageNet-1K
88Top-1 Acc
33
ImageNet-1K AutoAttack 1.0 (test)
1Test Attack Power
32
reduced-scale ImageNet-1K (test)
66.66Top-1 Accuracy
32
ImageNet-1K (val)
82.17Accuracy
32
ImageNet-C
50.9Recall@1
32
ImageNet
13.49PSNR
32
ImageNet (val)
65.6Deletion
32
ImageNet-1k OOD Average (val)
22.37FPR95
32
ImageNet1K-OpenOOD ImageNet-O
29.8FPR95
32
ImageNet protocol datasets averaged over 4 (test)
97.73AUROC
32
ImageNet-1k
79.82Accuracy
32
ImageNet 1K
78.975Time-over-Weight (High)
32
ImageNet
2.31FID
32
ImageNet-1k (val)
85.67Top-1 Accuracy
32
ImageNet 1k
86.9Trained Accuracy
32
ImageNet-R 20 tasks
86.37Accuracy (20 Tasks)
32
ImageNet-LT IR=256 (test)
62Accuracy
32
ImageNet (50:950 split)
0.654Accuracy
32
ImageNet ID-to-OOD 50:950 (test)
65.36Accuracy
32
tiered-ImageNet (test)
86.51Accuracy
32