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Papers Benchmarks Datasets Tasks

Continual Learning research benchmarks – Page 17 · SOTA2 Research

Continual Learning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageNet-A (20 tasks)

52.96FAA

2

Feb 26, 2026

Spectral-HDC + MobileNetV2

9.38Latency (ms)

1

Apr 24, 2026

BAM-based Learning

3.01Latency (ms)

1

Apr 24, 2026

Dissimilar task scenario

Multi (Upper Bound)

54.19Score

1

Feb 26, 2026

Similar task scenario

Multi (Upper Bound)

47.69Score

1

Feb 26, 2026

Eight-axis grid

—

—Primary metric

0

May 15, 2026

Tiny-ImageNet Split 100 tasks

—

—Average Forgetting

0

Feb 26, 2026

Split Tiny-ImageNet 100 tasks (test)

—

—Accuracy

0

Feb 26, 2026

SuperNI Benchmark

—

—Primary metric

0

Feb 26, 2026

Large Number of Tasks CL

—

—Primary metric

0

Feb 26, 2026

—

—Accuracy

0

Feb 26, 2026

ObjectNet (OB) (test)

—

—Accuracy

0

Feb 26, 2026

CUB 200-2011 (test)

—

—Accuracy

0

Feb 26, 2026

ImageNet-R (IN-R) (test)

—

—Accuracy

0

Feb 26, 2026

ImageNet-A (test)

—

—Accuracy

0

Feb 26, 2026

Page 17 of 17

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