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Papers Benchmarks Datasets Tasks

Copy-Move Forgery Detection research benchmarks · SOTA2 Research

Copy-Move Forgery Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

76.77Pixel Precision

11

Feb 27, 2026

57.64Pixel-level Precision

10

Feb 27, 2026

GAN-CopyMove (test)

88.45Precision

7

Feb 27, 2026

GAN-Rewriting (test)

72.73Precision

7

Feb 27, 2026

88.45Precision

7

Feb 27, 2026

RecodAI-LUC primary benchmark

60.6AUROC

1

Apr 21, 2026

67.3AUROC

1

Apr 21, 2026

0.752AUROC

1

Apr 21, 2026

GAN-Rewriting (subset)

—

—Precision

0

Feb 26, 2026

—

—Precision (Pixel)

0

Feb 26, 2026

CASIA CMFD (test)

—

—Pixel Precision

0

Feb 26, 2026

Popular datasets

GAN-CopyMove CASIA CMFD CoMoFoD GAN-Rewriting MICC

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