Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation

Understand

Video segmentation aims to segment and track every pixel in diverse scenarios accurately.

• In this paper, we present Tube-Link, a versatile framework that addresses multiple core tasks of video segmentation with a unified architecture.
• Our framework is a near-online approach that takes a short subclip as input and outputs the corresponding spatial-temporal tube masks.
• To enhance the modeling of cross-tube relationships, we propose an effective way to perform tube-level linking via attention along the queries.