Abstract

We present the 2018 DAVIS Challenge on Video Object Segmentation, a public competition specifically designed for the task of video object segmentation. It builds upon the DAVIS 2017 dataset, which was presented in the previous edition of the DAVIS Challenge [1], and added 100 videos with multiple objects per sequence to the original DAVIS 2016 dataset [2]. Motivated by the analysis of the results of the 2017 edition [1], the main track of the competition will be the same than in the previous edition (segmentation given the full mask of the objects in the first frame – semi-supervised scenario). This edition, however, also adds an interactive segmentation teaser track, where the participants will interact with a web service simulating the input of a human that provides scribbles to iteratively improve the result.