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Change Detection research benchmarks – Page 4 · SOTA2 Research

Change Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Chao Lake I (test)

2,252FP Count

10

May 19, 2026

595False Positives (FP)

10

May 19, 2026

LSMD RGB+NIR (test)

80.75Kappa

10

Mar 20, 2026

LSMD NIR (test)

78.34Kappa

10

Mar 20, 2026

LSMD RGB (test)

80.26Kappa

10

Mar 20, 2026

95.63IoU

10

Feb 26, 2026

VL-CMU-CD 1 (test)

Robust Scene Change Detection

76Aligned F1

10

Feb 26, 2026

LEVIR-CD all (test)

65.71IoU (xView2 pre-disaster)

10

Feb 26, 2026

WHU building change detection (test)

58.22IoU (xView2 pre-disaster)

10

Feb 26, 2026

74.7Precision

10

Feb 26, 2026

0.833Precision

9

Jun 11, 2026

Sensetime (test)

83.28Precision

9

Jun 11, 2026

0.995OA

9

Feb 26, 2026

Bay Area (test)

0.991OA

9

Feb 26, 2026

98.24Overall Accuracy (OA)

9

Feb 26, 2026

DSIFN-CD 11 (test)

88.48Precision

9

Feb 26, 2026

LEVIR-CD 10 (test)

94.02Precision

9

Feb 26, 2026

86.63IoU

8

May 18, 2026

72.77F1 Score

8

May 7, 2026

XView2 wildfire buildings CD (test)

93.26Precision

8

May 1, 2026

SpaceNet7-CD (test)

78.65Precision

8

May 1, 2026

Dyna.-S2 (test)

18SCS

8

Feb 26, 2026

15.4SCS Score

8

Feb 26, 2026

VL-CMU-CD (test)

80F1-score (best)

8

Feb 26, 2026

Change Detection Dataset (test)

99.68Accuracy

7

Feb 26, 2026

Page 4 of 7

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