Image Manipulation Detection On Columbia

Metrics

AUC

Balanced Accuracy

Results

Performance results of various models on this benchmark

			Paper Title
TruFor	.996	.984	TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
Early Fusion	.996	.962	MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
MVSS-Net	.984	.729	Image Manipulation Detection by Multi-View Multi-Scale Supervision
CAT-Net v2	.977	.803	Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
Late Fusion	.977	.822	MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
DF-Net	0.880	-	DF-Net: The Digital Forensics Network for Image Forgery Detection
ManTraNet	.810	.500	ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
CR-CNN	.755	.631	Constrained R-CNN: A general image manipulation detection model

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