https://github.com/Vujas-Eteph/CiVOS
공식 코드Revisiting Click-based Interactive Video Object Segmentation
Papers with Code 아카이브
Interactive Video Object Segmentation
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The interactive scenario assumes the user gives iterative refinement inputs to the algorithm, in our case in the form of a scribble, to segment the objects of interest. Methods have to produce a segmentation mask for that object in all the frames of a video sequence taking into account all the user interactions.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hkchengrex/MiVOS
공식 코드https://github.com/svip-lab/IVOS-W
공식 코드Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
https://github.com/syscv/sam-pt
공식 코드https://github.com/vvarga90/gnn_annot
공식 코드Fast Interactive Video Object Segmentation with Graph Neural Networks
https://github.com/yuk6heo/GIS-RAmap
공식 코드Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps
https://github.com/yuk6heo/IVOS-ATNet
공식 코드Interactive Video Object Segmentation Using Global and Local Transfer Modules
https://github.com/dongkwonjin/Semantic-Line-DRM
Interactive Video Object Segmentation Using Global and Local Transfer Modules
https://github.com/dongkwonjin/Semantic-Line-SLNet
Interactive Video Object Segmentation Using Global and Local Transfer Modules
https://github.com/hkchengrex/Mask-Propagation
https://github.com/hkchengrex/Scribble-to-Mask
https://github.com/limingxing00/rde-vos-cvpr2022
https://github.com/seoungwugoh/STM
https://github.com/seoungwugoh/ivs-demo
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
https://github.com/ywcmaike/TianchiVideoCharacterSegmentationPreliminary
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.