We present the 2019 DAVIS Challenge on Video Object Segmentation, the third edition of the DAVIS Challenge series, a public competition designed for the task of Video Object Segmentation (VOS). In addition to the original semi-supervised track and the interactive track introduced in the previous edition, a new unsupervised multi-object track will be featured this year. In the newly introduced track, participants are asked to provide non-overlapping object proposals on each image, along with an identifier linking them between frames (i.e. video object proposals), without any test-time human supervision (no scribbles or masks provided on the test video). In order to do so, we have re-annotated the train and val sets of DAVIS 2017 in a concise way that facilitates the unsupervised track, and created new test-dev and test-challenge sets for the competition. Definitions, rules, and evaluation metrics for the unsupervised track are described in detail in this paper.

本文介绍了2019年DAVIS挑战赛关于视频对象分割的任务，其中包括原始半监督轨迹、交互轨迹，以及新的无人监督多对象轨迹。同时，为了促进无人监督的轨迹，DAVIS 2017训练、验证集重新标注，并为比赛创建了新的测试集，无人监督轨迹的定义、规则和评估指标在本文中详细描述。

2019年DAVIS VOS竞赛：无监督多对象分割