Deep Interactive Object Selection

Understand

Interactive object selection is a very important research problem and has many applications.

• Previous algorithms require substantial user interactions to estimate the foreground and background distributions.
• In this paper, we present a novel deep learning based algorithm which has a much better understanding of objectness and thus can reduce user interactions to just a few clicks.
• Our algorithm transforms user provided positive and negative clicks into two Euclidean distance maps which are then concatenated with the RGB channels of images to compose (image, user interactions) pairs.