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Exemplar-Free Class-Incremental Learning research benchmarks – Page 2 · SOTA2 Research

Exemplar-Free Class-Incremental Learning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CUB200 T=5 tasks (test)

60.4Accuracy (Last)

9

Feb 26, 2026

ImageNet-R 10-Tasks Scenario

43.82Average Accuracy (AA)

7

Mar 24, 2026

ImageNet-R 5-Tasks Scenario

49.34Average Accuracy (AA)

7

Mar 24, 2026

CIFAR-100 T=20 (test)

2.04Training Time (min)

6

Jun 26, 2026

ImageNet-R 10-Tasks

43.82Average Accuracy (AA)

6

Mar 24, 2026

ImageNet-R 10-task (test)

27.92Average Accuracy (AA)

6

Mar 24, 2026

TinyImageNet T=5

41.29Alast

6

Feb 26, 2026

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ImageNet CIFAR ImageNet-R CIFAR-100 FGVCAircraft

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