Training-free attentive-patch selection for visual place recognition

• المؤلفون الرئيسيون: Zhang, Dongshuo, Wu, Meiqing, Lam, Siew-Kei
• مؤلفون آخرون: College of Computing and Data Science
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; Robotics; Simultaneous localization and mapping; Visual place recognition
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/178533
• المؤسسة: Nanyang Technological University

Visual Place Recognition (VPR) utilizing patch descriptors from Convolutional Neural Networks (CNNs) has shown impressive performance in recent years. Existing works either perform exhaustive matching of all patch descriptors, or employ complex networks to select good candidate patches for further g...