AANet: Aggregation and Alignment Network with Semi-hard Positive Sample Mining for Hierarchical Place Recognition-Reference-Cited by-同舟云学术

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AANet: Aggregation and Alignment Network with Semi-hard Positive Sample Mining for Hierarchical Place Recognition

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Lu Feng¹,Zhang Lijun²,Dong Shuting¹,Chen Baifan³,Yuan Chun¹

Affiliation:

1. Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China,518055

2. Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences,Chongqing,China,400714

3. School of Automation, Central South University,Changsha,China,410083

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160734.pdf?arnumber=10160734

Reference43 articles.

1. Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words

2. Escaping the big data paradigm with compact transformers;hassani;ArXiv Preprint,2021

3. Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization

4. Self-supervising fine-grained region similarities for large-scale image localization;ge;European Conference on Computer Vision,0

5. FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NPR: Nocturnal Place Recognition Using Nighttime Translation in Large-Scale Training Procedures;IEEE Journal of Selected Topics in Signal Processing;2024-04

2. Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild;IEEE Access;2024

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