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Papers Benchmarks Datasets Tasks

ImageNet dataset and benchmarks – Page 34 · SOTA2 Research

Research Datasets

ImageNet

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Image Attribution Detection

ImageNet Natural

100AUC

24

Incremental Image Classification

ImageNet-100 from scratch (test)

53.2Alast

24

Feature Attribution

Mini-ImageNet 500 randomly sampled images (val)

42.98DiffID Score

24

Image Classification Defense

Tiny-ImageNet

48.52Clean Accuracy (CA)

24

Non-targeted Black-box Attack

ImageNet

99.6SSIM

24

Targeted Black-box Adversarial Attack

ImageNet (test)

17.129Average L2 Norm

24

Non-targeted Black-box Adversarial Attack

ImageNet (test)

2.841Average L2 Norm

24

Open-Set OOD Detection

ImageNet Setup-I 1.0 (test)

87.2AUROC

24

OOD Generalization

ImageNet Setup-I 1.0 (test)

83.3ID Accuracy

24

Image Classification

ImageNet V2

71.4Coverage (Cov)

24

Image Classification

ImageNet

67.2Coverage

24

ImageNet V2

0.042WUC

24

ImageNet

0.019WUC

24

Image Classification

ImageNet

79.5Accuracy

24

Adversarial Detection

ImageNet BLIP

97Detection Rate

24

Image Classification

TinyImageNet (test val)

56.73Accuracy

24

Class-Incremental Learning

Tiny-ImageNet

82.36Average Performance

24

Feature Attribution

ImageNet 1000 samples (val)

4.37Infidelity

24

Long-tailed Class-Incremental Learning

ImageNet Subset-LT

42.8Accuracy

24

Image Classification

ImageNet Subset (From Half) LT (test)

42.8Average Accuracy

24

Image Classification

ImageNet 1K

1,309.24Throughput (img/s)

24

Explanation Sparsity

ImageNet

0.98Gini Index

24

Feature Attribution

ImageNet

38ROAD_AOPC

24

Object Recognition

ImageNet-C

40.4Average Accuracy

24

Image Classification

ImageNet-1K 1.0 (test)

49.03Top-1 Accuracy

24

Page 34 of 155

Popular tasks

Image Classification Image Generation Class-incremental learning Out-of-Distribution Detection OOD Detection

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