ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet 300 Epochs (val)
73.14Top-1 Acc
7
ImageNet IN-1K (val)
83.8Empirical Accuracy
7
ImageNet-1K (val)
45.69FPR@95% (MSP)
7
ImageNet-1k vs iNaturalist (val test)
32.17FPR@95% (MaxLogit)
7
ImageNet 500
72Top-1 Acc
7
ImageNet 1000 classes (val)
2.07FID
7
ImageNet-1K OpenOOD Far-OOD v1.5
15.62FPR@95
7
ImageNet Subset (test)
69.15Average Accuracy
7
ImageNet-Compatible (val)
0.229VGG-16 Score
7
ImageNet 1k (val)
90.52Accuracy
7
ImageNet-1K Robustness Variants (IN-1K, IN-V2, IN-ReaL, IN-Adv., IN-Ren., IN-Ske.) 1.0 (val)
88.5Top-1 Acc (IN-1K)
7
ImageNet 30
0.92AUROC
7
ImageNet subset (test)
49.89Accuracy (Natural)
7
ImageNet-1K downsampled (test)
33.97Recall@1
7
ImageNet100-B0 10 steps (non-rehearsal)
84.05Average Accuracy
7
ImageNet (train)
3.6FID
7
ImageNet-ILSVRC12 WebVision transfer (val)
75.75Top-1 Accuracy
7
ImageNet
0.24MSE
7
ImageNet-LT Backward-LT (test)
57.1Top-1 Acc (IR=2)
7
ImageNet-LT Uniform (test)
58.8Top-1 Acc
7
ImageNet-LT Forward-LT (test)
69.4Top-1 Acc (IR=50)
7
ImageNet
62.6Top-1 Accuracy (JPEG)
7
ImageNet
5.033NIMA Technical Score
7
ImageNet-100 50% seen 50% novel
83.9Accuracy (Seen)
7
ImageNet-100 B0, 20 steps (test)
81.2Average Accuracy
7