https://github.com/sitonggong/vrs-hq
공식 코드The Devil is in Temporal Token: High Quality Video Reasoning Segmentation
Papers with Code 아카이브
Referring Video Object Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Referring video object segmentation aims at segmenting an object in video with language expressions. Unlike the previous video object segmentation, the task exploits a different type of supervision, language expressions, to identify and segment an object referred by the given language expressions in a video.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/suhwan-cho/FindTrack
공식 코드https://github.com/tapall-ai/mevis_track_solution_2024
공식 코드https://github.com/ut-vision/actionvos
공식 코드https://github.com/wjn922/referformer
공식 코드https://github.com/wudongming97/onlinerefer
공식 코드OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation
https://github.com/zhiweihhh/cvpr2022-rvos-challenge
공식 코드1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object Segmentation
https://github.com/FaceOnLive/Realtime-Background-Changer-SDK-Android
UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces
https://github.com/GLUS-video/GLUS
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation
https://github.com/JerryX1110/awesome-rvos
End-to-End Referring Video Object Segmentation with Multimodal Transformers
https://github.com/lwye/CMSA-Net
Cross-Modal Self-Attention Network for Referring Image Segmentation
https://github.com/nero1342/VATEX
https://github.com/skynbe/Refer-Youtube-VOS
https://github.com/sunsmarterjie/chatterbox
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.