MoNet : deep motion exploitation for video object segmentation

• Main Authors: Xiao, Huaxin, Feng, Jiashi, Lin, Guosheng, Liu, Yu, Zhang, Maojun
• 其他作者: School of Computer Science and Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2020
• 主題: Engineering::Computer science and engineering; Motion Segmentation; Feature Extraction
• 在線閱讀: https://hdl.handle.net/10356/143257

In this paper, we propose a novel MoNet model to deeply exploit motion cues for boosting video object segmentation performance from two aspects, i.e., frame representation learning and segmentation refinement. Concretely, MoNet exploits computed motion cue (i.e., optical flow) to reinforce the repre...