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SOTA
Image Manipulation Detection
Image Manipulation Detection On Cocoglide
Image Manipulation Detection On Cocoglide
Metrics
AUC
Balanced Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC
Balanced Accuracy
Paper Title
ManTraNet
.778
.500
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
Late Fusion
.760
.677
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
Early Fusion
.755
.660
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
TruFor
.752
.639
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
CAT-Net v2
.667
.580
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
MVSS-Net
.654
.117
Image Manipulation Detection by Multi-View Multi-Scale Supervision
CR-CNN
.589
.447
Constrained R-CNN: A general image manipulation detection model
SPAN
.475
.298
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
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Image Manipulation Detection On Cocoglide | SOTA | HyperAI