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Image Manipulation Localization On Coverage

Metrics

Average Pixel F1(Fixed threshold)

Results

Performance results of various models on this benchmark

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

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Image Manipulation Localization On Coverage | SOTA | HyperAI