Region embedding with intra and inter-view contrastive learning

• Main Authors: Zhang, Liang, Long, Cheng, Cong, Gao
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Contrastive Learning; Region Representation
• Online Access: https://hdl.handle.net/10356/172863
• Institution: Nanyang Technological University

Unsupervised region representation learning aims to extract dense and effective features from unlabeled urban data. While some efforts have been made for solving this problem based on multiple views, existing methods are still insufficient in extracting representations in a view and/or incorporating...