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Image Manipulation Localization On Coverage

Metrics

Average Pixel F1(Fixed threshold)

Results

Performance results of various models on this benchmark

Model Name
Average Pixel F1(Fixed threshold)
Paper TitleRepository
TruFor.600TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization-
CAT-Net v2.381Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization-
CMX (RGB+NP++).577CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers-
ManTraNet.317ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
CR-CNN.391Constrained R-CNN: A general image manipulation detection model-
SPAN.235SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
CMX (RGB+SRM).630CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers-
CMX (RGB+Bayar).592CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers-
Late Fusion.641MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization-
MVSS-Net.514Image Manipulation Detection by Multi-View Multi-Scale Supervision-
Early Fusion.663MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization-
0 of 11 row(s) selected.
Image Manipulation Localization On Coverage | SOTA | HyperAI