Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition

• Published in: arXiv.org
• Main Authors: Zhao, Junqiao, Zhang, Fenglin, Cai, Yingfeng, Tian, Gengxuan, Mu, Wenjie, Chen, Ye, Feng, Tiantian
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 27.01.2024
• Subjects: Computer Science - Computer Vision and Pattern Recognition; Recognition

Visual Place Recognition (VPR) aims to retrieve frames from a geotagged database that are located at the same place as the query frame. To improve the robustness of VPR in perceptually aliasing scenarios, sequence-based VPR methods are proposed. These methods are either based on matching between fra...