Instance Embedding Transfer to Unsupervised Video Object Segmentation
Published: Jun 1, 2018
Abstract
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 trained on static images, the instance embeddings are stable over consecutive video frames, which allows us to link objects together over time. Thus,...
Paper Details
Title
Instance Embedding Transfer to Unsupervised Video Object Segmentation
Published Date
Jun 1, 2018
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