MoNet : deep motion exploitation for video object segmentation

• Main Authors: Xiao, Huaxin, Feng, Jiashi, Lin, Guosheng, Liu, Yu, Zhang, Maojun
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Motion Segmentation; Feature Extraction
• Online Access: https://hdl.handle.net/10356/143257
• Institution: Nanyang Technological University

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...