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Papers Benchmarks Datasets Tasks

Continual Learning research benchmarks – Page 3 · SOTA2 Research

Continual Learning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CW10 (sequence)

86Performance

27

Mar 4, 2026

Continual Learning Task Stream S

93.7Average Accuracy (Caltech)

26

Jun 23, 2026

81.1RS Score

26

Jun 23, 2026

ImageNet-R 10-task split

82.06FAA

26

Mar 12, 2026

LIBERO-Long (test)

80.2NBT

26

Jun 4, 2026

CIFAR100 10-task sequential (test)

92.15Accuracy

26

Mar 4, 2026

57.8Overall Performance Score

25

May 26, 2026

96FWT

25

Jun 26, 2026

99.42Avg Accuracy

25

Jun 23, 2026

94.88FAA

25

Jun 30, 2026

91.65Accuracy

24

Jun 23, 2026

26.32AP

24

May 14, 2026

27.73AP

24

May 14, 2026

27.27AP

24

May 14, 2026

36.99AP

24

May 14, 2026

11.89AP

24

May 14, 2026

Curriculum Coding -> Math -> Medical

32.9Code Score

24

May 12, 2026

TinyImageNet Split 10 sequential tasks (test)

0Final Forgetting

24

Mar 4, 2026

CIFAR-100 Split 10 sequential tasks (test)

0Final Forgetting (FF)

24

Mar 4, 2026

CIFAR-10 Split 5 sequential tasks (test)

0Final Forgetting (FF)

24

Mar 4, 2026

S-Tiny-ImageNet (last)

82.04TIL Last Top-1 Acc

24

Feb 26, 2026

S-CIFAR-10 (last)

0.983TIL Last Top-1 Acc

24

Feb 26, 2026

97.1Average Accuracy

24

Jun 12, 2026

8.45Relative Forgetting

24

Feb 26, 2026

83.69Accuracy Last (ALast)

23

May 12, 2026

Page 3 of 17

Popular datasets

CIFAR ImageNet MNIST CIFAR-100 ImageNet-R

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