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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Image Manipulation Localization On Columbia

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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
Early Fusion.888MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
Late Fusion.864MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
CMX (RGB+Bayar).872CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
TruFor.859TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization-
CR-CNN.631Constrained R-CNN: A general image manipulation detection model-
MVSS-Net.729Image Manipulation Detection by Multi-View Multi-Scale Supervision
CMX (RGB+SRM).834CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
CAT-Net v2.859Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
SPAN.759SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization-
ManTraNet.508ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features-
CMX (RGB+NP++).884CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
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