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SOTA
Image Manipulation Localization
Image Manipulation Localization On Columbia
Image Manipulation Localization On Columbia
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Average Pixel F1(Fixed threshold)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Average Pixel F1(Fixed threshold)
Paper Title
Repository
Early Fusion
.888
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
Late Fusion
.864
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
CMX (RGB+Bayar)
.872
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
TruFor
.859
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
-
CR-CNN
.631
Constrained R-CNN: A general image manipulation detection model
-
MVSS-Net
.729
Image Manipulation Detection by Multi-View Multi-Scale Supervision
CMX (RGB+SRM)
.834
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
CAT-Net v2
.859
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
SPAN
.759
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
ManTraNet
.508
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
CMX (RGB+NP++)
.884
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
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