2018
Instance Embedding Transfer to Unsupervised Video Object Segmentation
CVPR 2018poster
We propose a method for unsupervised video object segmentation by transferring the knowledge encapsulated in image-based instance embedding networks. The instance embedding network produces an embedding vector for each pixel that enables identifying all pixels belonging to the same object. Though tr…