ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet-SK
—Top-1 Accuracy
0
ImageNet
—FGSM Attack Rate
0
ImageNet-1K (val)
—Acc
0
ImageNet 1 image per class Extreme low-shot 1K
—Top-1 Acc
0
ImageNet (train val)
—AMI
0
Bing -> Imagenet (target)
—Primary metric
0
ImageNet 1.0 (10% train)
—Top-1 Acc
0
ImageNet few-shot
—Novel Top-5 Acc
0
ImageNet Large-scale unseen classes (test)
—Top-1 Acc (Per-Class Avg)
0
ImageNet-1k vs ImageNet-V2
—Primary metric
0
ImageNet-1k vs ImageNet-R
—Primary metric
0
Tiny-ImageNet Dirichlet 0.3 (test)
—Acc@14
0
Tiny-ImageNet Dirichlet 0.1 (test)
—Top-20 Acc
0
ImageNet 1k retain forget (val test)
—Primary metric
0
ImageNet-V2 MatchedFrequency (val)
—Accuracy
0
ImageNet-A v1 (val)
—Accuracy
0
ImageNet 256x256 (train val)
—Accuracy
0
S-MiniImageNet
—Primary metric
0