https://github.com/dong03/MVSS-Net
공식 코드Image Manipulation Detection by Multi-View Multi-Scale Supervision
Papers with Code 아카이브
Image Manipulation Localization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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The task of segmenting parts of images or image parts that have been tampered with or manipulated (sometimes also referred to as doctored). This typically encompasses image splicing, copy-move, or image inpainting.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/huaaaliu/rgbx_semantic_segmentation
공식 코드CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
https://github.com/idt-iti/mmfusion-iml
공식 코드MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
https://github.com/knightzjz/ncl-iml
공식 코드https://github.com/mjkwon2021/cat-net
공식 코드Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
https://github.com/proteus1991/pscc-net
공식 코드https://github.com/scu-zjz/Mesorch
공식 코드https://github.com/scu-zjz/forensichub
공식 코드ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
https://github.com/scu-zjz/imdlbenco
공식 코드IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
https://github.com/scu-zjz/sparsevit
공식 코드https://github.com/sunnyhaze/iml-vit
공식 코드IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
https://github.com/ISICV/ManTraNet
https://github.com/RonyAbecidan/Mantranet-pytorch
https://github.com/SunnyHaze/ManTraNet-Pytorch
https://github.com/ZhiHanZ/IRIS0-SPAN
https://github.com/dddb11/MVSS-Net
Image Manipulation Detection by Multi-View Multi-Scale Supervision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.