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Change Detection research benchmarks – Page 7 · SOTA2 Research

Change Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

89.77F1 Score

3

May 7, 2026

Beichuan three-phase

88.37Accuracy

3

Mar 25, 2026

beta-map Synthetic

Empirical transfer-operator change detection

7.98FAR

2

Jun 8, 2026

58.46tc-mIoU

2

Jun 4, 2026

LEVIR-CD (train)

—

—Primary metric

0

Jul 7, 2026

LEVIR-CD 5% (test)

—

—IoU

0

Feb 26, 2026

Page 7 of 7

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