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홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Image Manipulation Localization On Cocoglide

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Average Pixel F1(Fixed threshold)

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이 벤치마크에서 각 모델의 성능 결과

모델 이름
Average Pixel F1(Fixed threshold)
Paper TitleRepository
CMX (RGB+Bayar).566CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
CAT-Net v2.434Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
TruFor.523TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization-
CMX (RGB+SRM).585CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
MVSS-Net.486Image Manipulation Detection by Multi-View Multi-Scale Supervision
Late Fusion.574MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
SPAN.298SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
CR-CNN.447Constrained R-CNN: A general image manipulation detection model-
CMX (RGB+NP++).516CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
ManTraNet.516ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
Early Fusion.553MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
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