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CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation. (arXiv:2311.00987v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
The advancement of computer vision has pushed visual analysis tasks from
still images to the video domain. In recent years, video instance segmentation,
which aims to track and segment multiple objects in video frames, has drawn
much attention for its potential applications in various emerging areas such as
autonomous driving, intelligent transportation, and smart retail. In this
paper, we propose an effective framework for instance-level visual analysis on
video frames, which can simultaneously conduct object detection, instance
segmentation, and multi-object …
advancement analysis applications arxiv attention autonomous collaborative computer computer vision domain images instance multiple multi-task learning objects segment segmentation tasks tracking video video instance segmentation vision visual