Copy-Move Forgery Detection on CASIA CMFD
76.77Pixel PrecisionMSN
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| MSN2025.12 | 76.77 | 73.1 | 72.09 | 67.72 | 94.44 | 78.88 | |
| DenseIncepsource=quoted from original paper2025.12 | 70.85 | 58.85 | 64.29 | — | — | — | |
| SuperGluesource=quoted from original paper2025.12 | 64.94 | 45.2 | 47.82 | 78.6 | 76.09 | 77.32 | |
| AR-Netsource=quoted from original paper2025.12 | 58.32 | 37.33 | 45.52 | — | — | — | |
| BusterNet2025.12 | 55.71 | 43.81 | 45.51 | 76.47 | 70.3 | 73.25 | |
| DOA-GAN2025.12 | 53.92 | 41.51 | 42.26 | 62.9 | 77.61 | 69.49 | |
| CMSDNet2025.12 | 52.51 | 52.48 | 48.64 | 56.02 | 88.88 | 68.73 | |
| Ada-Seg2025.12 | 47.71 | 13.16 | 18.78 | 88.04 | 52.7 | 65.94 | |
| Block-ZM2025.12 | 32.89 | 28.34 | 29.26 | 74.65 | 45.09 | 56.22 | |
| ManTraNet2025.12 | 28.72 | 44.13 | 31.93 | 73.25 | 70.3 | 71.75 | |
| DenseFieldsource=quoted from original paper2025.12 | 20.55 | 20.91 | 20.36 | 99.51 | 30.61 | 46.82 |