ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet Target Inc-v4
99.4Success Rate
16
ImageNet Target: Inc-v3
99.5Success Rate
16
ImageNet 1k Depth
64.07Top-1 Accuracy (KNN)
16
TinyImageNet
100Detection Accuracy (BadNet)
16
Tiny ImageNet Dirichlet α=0.6 (test)
36.73Accuracy
16
ImageNet100 Task 4(40-20) 1.0 (test)
94.8Accuracy
16
ImageNet100 Task 3(60-20) 1.0 (test)
91.3Accuracy
16
ImageNet100 Task 2(80-20) 1.0 (test)
90.63Accuracy
16
ImageNet100 Task 1(100-20) 1.0 (test)
89.93Accuracy
16
ImageNet (test)
78.5Accuracy
16
ImageNet 1000
64.12Top-1 Accuracy
16
Tiny ImageNet (test)
0.996AUROC
16
tiered-ImageNet (test)
54.15-shot Accuracy
16
ImageNet 256x256 (val)
86.3Top-1 Acc
16
ImageNet 1K (train val)
76.8Accuracy
16
ImageNet 1k (val)
77.64Accuracy
16
ImageNet-1K 1.0 (val)
199Throughput (A100, B=1)
16
ImageNet Subset (val)
62.4Alast
16
TinyImageNet T=10
36.5Alast
16
ImageNet (val)
85.3Top-1 Acc
16
ImageNet-R 10 tasks
90.5ACC10
16
ImageNet H (harmonic mean)
74.53Accuracy
16
ImageNet long-tailed (test)
1.506ECE
16
Red Mini-ImageNet (test)
61.44Accuracy (Noise 0.2)
16
ImageNet (val)
0.824Top-1 Accuracy
16