ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Tiny-ImageNet (beta=0.1)
69.5Accuracy
7
Tiny-ImageNet (beta=0.3)
72.19Accuracy
7
ImageNet (test)
76.23Standard Accuracy
7
Tiny ImageNet
0.22Badnet BA
7
ImageNet16-120 NAS-Bench-201 (test)
47.31Top-1 Accuracy
7
ImageNet 1.0 (train)
1TPR
7
ImageNet100
0.988CDA
7
ImageNet 128x128 (test val)
1.75FID
7
ImageNet 1k 512x512 (train)
2.89FID
7
ImageNet
78.07Base Accuracy
7
ImageNet-1K (val)
69.8Accuracy
7
ImageNet-10 DFM-filtered (test)
28.6Avg TPR
7
ImageNet 256x256 (test)
31.57PSNR
7
ImageNet 10% labels 1k (train val)
76Top-1 Accuracy
7
ImageNet 1% labels 1k (train val)
66.8Top-1 Accuracy
7
ImageNet-Dogs deep features (test)
52.6Accuracy
7
ImageNet-10 deep features (test)
95.8ACC
7
ImageNet-1K 512x512 (test)
2.13gFID
7
miniImageNet 5-way 5-shot incremental setup
96.68A_Base
7
ImageNet400 (200+200) 1k-subset (test)
44.87Joint Accuracy
7
ImageNet v2 56 (test)
84Accuracy
7
ImageNet ReaL 6 (val)
0.91Accuracy
7
ImageNet Blind-S (test)
99.53ASR
7
ImageNet Blind-P (test)
99.5ASR
7
ImageNet HTBA (test)
0.882ASR
7