Image Manipulation Localization on CASIA v1
84F1 ScoreMesorch
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MesorchProtocol=CAT-Net protocol2025.09 | 84 | 59.3 | — | — | |
| MesorchProtocol=CAT2025.08 | 84 | — | — | — | |
| APSC-NetProtocol=CAT2025.08 | 83.7 | — | — | — | |
| SparseViTProtocol=CAT2025.08 | 82.7 | — | — | — | |
| TruforProtocol=CAT2025.08 | 82.1 | — | — | — | |
| TruforProtocol=CAT-Net protocol2025.09 | 81.8 | 53.1 | — | — | |
| CAT-NetProtocol=CAT-Net protocol2025.09 | 80.8 | 53.3 | — | — | |
| Relay-ViTProtocol=CAT2025.08 | 80.6 | — | — | — | |
| Relay-SegProtocol=CAT2025.08 | 80.2 | — | — | — | |
| RITAProtocol=CAT-Net protocol2025.09 | 77 | 64.3 | — | — | |
| Relay-SegProtocol=MVSS2025.08 | 76 | — | — | — | |
| MesorchProtocol=MVSS2025.08 | 74.3 | — | — | — | |
| MesorchProtocol=MVSS protocol2025.09 | 74 | 40.2 | — | — | |
| Relay-ViTProtocol=MVSS2025.08 | 74 | — | — | — | |
| TruForProtocol=MVSS protocol2025.09 | 72.1 | 46.4 | — | — | |
| TruforProtocol=MVSS2025.08 | 72.1 | — | — | — | |
| IML-ViTProtocol=MVSS2025.08 | 71.8 | — | — | — | |
| IML-ViTProtocol=Fine-tuned2026.04 | 66.28 | — | — | — | |
| SparseViTProtocol=MVSS2025.08 | 64.6 | — | — | — | |
| PSCCProtocol=CAT-Net protocol2025.09 | 63 | 55.5 | — | — | |
| LDM w. ReViProtocol=Fine-tuned2026.04 | 61.02 | — | — | — | |
| TinySAM w. ReViProtocol=Fine-tuned2026.04 | 60.98 | — | — | — | |
| MesorchProtocol=Fine-tuned2026.04 | 59.82 | — | — | — | |
| CAT-NetProtocol=MVSS2025.08 | 59.4 | — | — | — | |
| MVSSProtocol=CAT-Net protocol2025.09 | 58.3 | 49.5 | — | — | |
| CAT-NetProtocol=MVSS protocol2025.09 | 58.1 | 37.8 | — | — | |
| SegFormer w. ReViProtocol=Fine-tuned2026.04 | 56.48 | — | — | — | |
| PSCC-NetProtocol=Fine-tuned2026.04 | 56.2 | — | — | — | |
| ACBGProtocol=Fine-tuned2026.04 | 55.78 | — | — | — | |
| Swin Transformer w. ReViProtocol=Fine-tuned2026.04 | 55.64 | — | — | — | |
| Sparse-ViTProtocol=Fine-tuned2026.04 | 54.36 | — | — | — | |
| MVSS-NetProtocol=MVSS protocol2025.09 | 53.4 | 32.7 | — | — | |
| MVSS-NetProtocol=MVSS2025.08 | 53.4 | — | — | — | |
| RITAProtocol=MVSS protocol2025.09 | 52.2 | 51.5 | — | — | |
| NCL-IMLProtocol=MVSS2025.08 | 50.2 | — | — | — | |
| EVPProtocol=Fine-tuned2026.04 | 50 | — | — | — | |
| ObjectFormerProtocol=MVSS2025.08 | 42.9 | — | — | — | |
| SegFormer w. ReViProtocol=Pre-trained2026.04 | 42.73 | — | — | — | |
| Sparse-ViTProtocol=Pre-trained2026.04 | 42.57 | — | — | — | |
| MPCProtocol=Fine-tuned2026.04 | 42.45 | — | — | — | |
| TruForProtocol=Fine-tuned2026.04 | 40.8 | — | — | — | |
| LDM w. ReViProtocol=Pre-trained2026.04 | 39.61 | — | — | — | |
| Swin Transformer w. ReViProtocol=Pre-trained2026.04 | 38.8 | — | — | — | |
| TinySAM w. ReViProtocol=Pre-trained2026.04 | 38.79 | — | — | — | |
| PSCC-NetProtocol=MVSS protocol2025.09 | 37.8 | 36.3 | — | — | |
| PSCC-NetProtocol=MVSS2025.08 | 37.8 | — | — | — | |
| EVPProtocol=Pre-trained2026.04 | 36.56 | — | — | — | |
| MesorchProtocol=Pre-trained2026.04 | 32.09 | — | — | — | |
| PSCC-NetProtocol=Pre-trained2026.04 | 28.83 | — | — | — | |
| IML-ViTProtocol=Pre-trained2026.04 | 28.19 | — | — | — | |
| TruForProtocol=Pre-trained2026.04 | 23.49 | — | — | — | |
| ACBGProtocol=Pre-trained2026.04 | 23.47 | — | — | — | |
| MPCProtocol=Pre-trained2026.04 | 22.37 | — | — | — | |
| Mantra-NetProtocol=MVSS2025.08 | 12.5 | — | — | — | |
| Best single pyIFDSelection=Best single2026.05 | — | — | 28.4 | 19.8 | |
| CAT-Net2026.05 | — | — | 36.8 | 26.3 | |
| FRAMESelection=Learned, Fusion=Learned2026.05 | — | — | 42.1 | 30.8 | |
| Heuristic-K + uniformSelection=Heuristic, Fusion=Uniform2026.05 | — | — | 30.2 | 21.4 | |
| ManTraNet2026.05 | — | — | 33.7 | 24.1 | |
| MMFusion2026.05 | — | — | 15.2 | 10.4 | |
| Random-K + uniformSelection=Random, Fusion=Uniform2026.05 | — | — | 26.7 | 18.4 | |
| RF-Ensemble (pyIFD)Fusion=RF-Ensemble2026.05 | — | — | 32.8 | 23.2 | |
| TruFor2026.05 | — | — | 40.8 | 29.4 | |
| Uniform-all pyIFDSelection=None (all), Fusion=Uniform2026.05 | — | — | 25.1 | 17.2 | |
| XGB-Ensemble (pyIFD)Fusion=XGB-Ensemble2026.05 | — | — | 34.2 | 24.3 |