Deep Object Co-Segmentation

Understand

This work presents a deep object co-segmentation (DOCS) approach for segmenting common objects of the same class within a pair of images.

• This means that the method learns to ignore common, or uncommon, background stuff and focuses on objects.
• If multiple object classes are presented in the image pair, they are jointly extracted as foreground.
• To address this task, we propose a CNN-based Siamese encoder-decoder architecture.