In-N-Out Generative Learning for Dense Unsupervised Video Segmentation

Xiao Pan, Peike Li, Zongxin Yang +5

In this paper, we focus on unsupervised learning for Video Object Segmentation (VOS) which learns visual correspondence (i.e., the similarity between pixel-level features) from unl…