Interactive Video Object Segmentation in the Wild

Understand

In this paper we present our system for human-in-the-loop video object segmentation.

• The backbone of our system is a method for one-shot video object segmentation.
• While fast, this method requires an accurate pixel-level segmentation of one (or several) frames as input.
• As manually annotating such a segmentation is impractical, we propose a deep interactive image segmentation method, that can accurately segment objects with only a handful of clicks.