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Image Manipulation Detection On Columbia

评估指标

AUC
Balanced Accuracy

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
TruFor.996.984TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization-
Early Fusion.996.962MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
MVSS-Net.984.729Image Manipulation Detection by Multi-View Multi-Scale Supervision
CAT-Net v2.977.803Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
Late Fusion.977.822MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
DF-Net0.880-DF-Net: The Digital Forensics Network for Image Forgery Detection-
ManTraNet.810.500ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features-
CR-CNN.755.631Constrained R-CNN: A general image manipulation detection model-
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Image Manipulation Detection On Columbia | SOTA | HyperAI超神经