Wenhua Jin, Tiancheng Chen, Sheng Tang, Jiahao Li, Yupeng Liu, Weiqi Zhang, Juntong Fang, Zesong Li · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31209 · open-access PDF
움직이는 개체 분할은 전통적으로 시퀀스 및 개체 수준에서 표현되며, 전체 인스턴스를 비디오에서 어느 곳이든 움직일 때 움직이는 것으로 표시합니다.최근의 순간적인 형식은 움직이는 것을 정지 간격에서 구별하지만, 여전히 냉동된 분할 기초 모델을 통해 객체 수준에서 마스크를 생성합니다.마스크가 인스턴스 수준 제안에서 유래되기 때문에, 움직임은 일반적으로 실제로 움직이는 영역에 로컬화되지 않기보다는 전체 인스턴스에 기인됩니다.
Machine translation (Meta M2M100); the English original follows.
Moving object segmentation is conventionally formulated at the sequence and object level, marking an entire instance as moving once it moves anywhere in a video. Recent instantaneous formulations distinguish moving from stationary intervals, but still generate masks at the object level through frozen segmentation foundation models. Because the mask is derived from an instance-level proposal, motion is typically attributed to the entire instance rather than localized to the regions that actually move. Moreover, such instance-level predictions can produce masks even when no part of the instance
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