PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation

Understand

Click-based interactive segmentation aims to generate target masks via human clicking, which facilitates efficient pixel-level annotation and image editing.

• In such a task, target ambiguity remains a problem hindering the accuracy and efficiency of segmentation.
• That is, in scenes with rich context, one click may correspond to multiple potential targets, while most previous interactive segmentors only generate a single mask and fail to deal with target ambiguity.
• In this paper, we propose a novel interactive segmentation network named PiClick, to yield all potentially reasonable masks and suggest the most plausible one for the user.