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Papers Benchmarks Datasets Tasks

ImageNet dataset and benchmarks – Page 64 · SOTA2 Research

Research Datasets

ImageNet

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Image Generation

ImageNet 128x128 (train test)

0.24TFLOPs

13

Task-Incremental Learning

ImageNet-1k 50 Tasks (test)

42.8Accuracy

13

Task-Incremental Learning

ImageNet-1k 20 Tasks (test)

52.1Accuracy

13

Task-Incremental Learning

ImageNet-1k 10 Tasks (test)

59.4Accuracy

13

Class-Incremental Learning

ImageNet-1k 50 Tasks (test)

25.6Accuracy

13

Class-Incremental Learning

ImageNet-1k 20 Tasks (test)

34.2Accuracy

13

Class-Incremental Learning

ImageNet-1k 10 Tasks (test)

41.3Accuracy

13

High Dynamic Range

ImageNet 256 x 256 (val)

28.885PSNR

13

Machine Unlearning

Tiny-ImageNet 3-class forgetting

0.03Time

13

Generalized Zero-shot Image Classification

ImageNet Generalized

74.63Harmonic Mean

13

Zero-shot Image Classification

ImageNet (Novel Split)

72.06Accuracy

13

Few-shot Image Classification

ImageNet (Base)

78.05Accuracy

13

Out-of-Distribution Detection

ImageNet-1k Far-OOD (val)

24.77FPR@95

13

Out-of-Distribution Detection

ImageNet-1k Near-OOD (val)

65.23FPR@95

13

Online Continual Test-Time Adaptation

ImageNet-to-ImageNet-C Average (severity 5)

62Accuracy

13

Online Continual Test-Time Adaptation

ImageNet-to-ImageNet-C severity=5, κ=0.1 (test)

61.7Places-C Accuracy

13

Online Continual Test-Time Adaptation

ImageNet-to-ImageNet OOD suite (Places-C, Texture-C, iNatur-C, SUN-C, SSB-H-C, NINCO-C) C (test)

62.4ACC (Places-C)

13

Online Continual Test-Time Adaptation

ImageNet-to-ImageNet-C severity=5, κ=0.3 (test)

61.4Accuracy (Places-C)

13

HDR Reconstruction

ImageNet 256 x 256

24.65PSNR

13

Targeted Adversarial Attack

ImageNet-Compatible (test)

83Overall Success Rate

13

Machine Unlearning

ImageNet 1-class unlearning 1K

39.18PGH

13

Image Classification

ImageNet

77.95Base Accuracy

13

Task Incremental Learning

S-ImageNet-1K 100 tasks 1.0 (test)

38.75Training Time (Hours)

13

Machine Unlearning

ImageNet (random sampling)

79.04Utility Retention (Au)

13

Machine Unlearning

ImageNet Random Sampling 3-seed average (train)

94.54Au Score

13

Page 64 of 155

Popular tasks

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

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