Unsupervised Video Object Segmentation via Prototype Memory Network. (arXiv:2209.03712v1 [cs.CV])

Unsupervised video object segmentation aims to segment a target object in the
video without a ground truth mask in the initial frame. This challenging task
requires extracting features for the most salient common objects within a video
sequence. This difficulty can be solved by using motion information such as
optical flow, but using only the information between adjacent frames results in
poor connectivity between distant frames and poor performance. To solve this
problem, we propose a novel prototype memory network …

arxiv memory network segmentation unsupervised video