PMVOS: Pixel-Level Matching-Based Video Object Segmentation

Understand

Semi-supervised video object segmentation (VOS) aims to segment arbitrary target objects in video when the ground truth segmentation mask of the initial frame is provided.

• Due to this limitation of using prior knowledge about the target object, feature matching, which compares template features representing the target object with input features, is an essential step.
• Recently, pixel-level matching (PM), which matches every pixel in template features and input features, has been widely used for feature matching because of its high performance.
• However, despite its effectiveness, the information used to build the template features is limited to the initial and previous frames.