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Papers Benchmarks Datasets Tasks

Continual Image Classification research benchmarks · SOTA2 Research

Continual Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

MiniImageNet Split

71.16Accuracy

42

Mar 18, 2026

85.4Accuracy

35

Jun 11, 2026

ImageNet-100 10 steps

95.1Top-5 Accuracy (Last)

23

Feb 26, 2026

93.78Accuracy (%)

23

Mar 18, 2026

ImageNet-1000 10 steps

90.6Top-5 Acc (Last)

21

Feb 26, 2026

CIFAR-10 Split 5 tasks (test)

Spectral Regularization

32Accuracy

7

Jun 17, 2026

Split-MNIST 5 tasks (test)

80.3Accuracy

7

Jun 17, 2026

Split-CIFAR-10 5 tasks, 2 classes each

NestedCapsule Oracle

79.5Accuracy

6

Mar 10, 2026

CIFAR-10 Split (val)

87Accuracy (Val)

5

Feb 26, 2026

Split MNIST (val)

86Accuracy (Val)

4

Feb 26, 2026

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—Primary metric

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

Popular datasets

ImageNet CIFAR-10 CIFAR100 MNIST 5-Datasets

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