Whereas video object segmentation focuses on isolating objects by leveraging spatio-temporal cues, saliency detection prioritises the most attention-grabbing regions in video sequences.

Instance segmentation separates individual instances of each type of object. For practical purposes, the output of segmentation networks is usually presented by coloring pixels.