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SOTA
이미지 조작 감지
Image Manipulation Detection On Dso 1
Image Manipulation Detection On Dso 1
평가 지표
AUC
Balanced Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
AUC
Balanced Accuracy
Paper Title
TruFor
.984
.930
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
Early Fusion
.966
.935
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
Late Fusion
.958
.830
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
ManTraNet
.874
.500
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
DF-Net
0.769
-
DF-Net: The Digital Forensics Network for Image Forgery Detection
CAT-Net v2
.747
.525
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
SPAN
.669
.233
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
CR-CNN
.576
.289
Constrained R-CNN: A general image manipulation detection model
MVSS-Net
.552
.358
Image Manipulation Detection by Multi-View Multi-Scale Supervision
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Image Manipulation Detection On Dso 1 | SOTA | HyperAI초신경