Audio-Visual Instance Segmentation
Published in arXiv (Cornell University) • Oct 28, 2023
Authors:,,
Ruohao Guo
Xianghua Ying
Yaru Chen
Abstract
In this paper, we propose a new multi-modal task, termed audio-visual instance segmentation (AVIS), which aims to simultaneously identify, segment and track individual sounding object instances in audible videos. To facilitate this research, we introduce a high-quality benchmark named AVISeg, contai...
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