ImageNet
Benchmarks
TaskDatasetSOTA resultTrendResults
miniImageNet Open-Ended 2-Way
69.8Accuracy
35
miniImageNet Open-Ended 5-Way (test)
45.9Accuracy
35
Tiny-ImageNet (train)
0.004Loss
35
ImageNet distribution shifts Sketch Adversarial Rendition V2 various (test)
7,103ImageNet Acc
35
ImageNet-100 10T
89.77Average Accuracy (A_T)
35
ImageNet-1K (val)
81.8Accuracy
35
ImageNet mini
-1.3BWT
35
ImageNet (test)
85.46Accuracy
35
ImageNet-1K V2 (val)
81.5Top-1 Acc
35
Mini-Imagenet (test)
62.3Average Accuracy (A)
35
ImageNet-1K V1
90.88Top-1 Acc
35
Tiny-ImageNet (test)
15.77IS
35
ImageNet 16H 1.0 (test)
0.02ECE
35
ImageNet 100 (incremental)
75.54Average Incremental Accuracy
35
ImageNet (test)
0.987AUC
35
ImageNet 1k (val)
79.17Top-1 Prune Accuracy
35
ImageNet zero-shot
83.5Top-1 Accuracy
35
ImageNet 50K
2.27FID
34
ImageNet 256 x 256
28.06PSNR
34
TinyImageNet
85.3AUROC
34
TinyImageNet
93.9AUROC
34
ImageNet 1k (val)
83.2Top-1 Accuracy
34
Tiny-ImageNet
69.22Robust Accuracy
34
ImageNet 1k 1.0 (val)
83.85Top-1 Accuracy
34
ImageNet
18.1Pos AUC
34