Guided Slot Attention for Unsupervised Video Object Segmentation

arXiv:2303.08314v3 Announce Type: replace
Abstract: Unsupervised video object segmentation aims to segment the most prominent object in a video sequence. However, the existence of complex backgrounds and multiple foreground objects make this task challenging. To address this issue, we propose a guided slot attention network to reinforce spatial structural information and obtain better foreground--background separation. The foreground and background slots, which are initialized with query guidance, are iteratively refined based on interactions with template information. Furthermore, to improve slot--template interaction …

abstract arxiv attention cs.cv however information issue multiple network object objects reinforce segment segmentation spatial type unsupervised video