Knowledge Commons of Institute of Automation,CAS
NPR: Nocturnal Place Recognition Using Nighttime Translation in Large-Scale Training Procedures | |
Liu Bingxi1,2![]() ![]() ![]() | |
发表期刊 | IEEE Journal of Selected Topics in Signal Processing
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2024-05 | |
卷号 | Early Access页码:1-13 |
摘要 | Visual Place Recognition (VPR) is critical in intelligent robotics and computer vision. It involves retrieving similar database images based on a query photo from an extensive collection of known images. In real-world applications, this task encounters challenges when dealing with extreme illumination changes caused by nighttime query images. However, a large-scale training set with day-night correspondence for VPR remains absent. To address this challenge, we propose a novel pipeline that divides the general VPR into distinct domains of day and night, subsequently conquering Nocturnal Place Recognition (NPR). Specifically, we first establish a day-night street scene dataset named NightStreet and use it to train an unpaired image-to-image translation model. Then, we utilize this model to process existing large-scale VPR datasets, generate the night version of VPR datasets, and demonstrate how to combine them with two popular VPR pipelines. Finally, we introduce a divide-and-conquer VPR framework designed to solve the degradation of NPR during daytime conditions. We provide comprehensive explanations at theoretical, experimental, and application levels. Under our framework, the performance of previous methods can be significantly improved on two public datasets, including the top-ranked method. Datasets, code, and trained models are available for research at https://github.com/BinuxLiu/npr. |
关键词 | Visual Place Recognition Robotic Vision Image- to-Image Translation Night Computer Vision |
DOI | 10.1109/JSTSP.2024.3403247 |
收录类别 | SCI |
语种 | 英语 |
是否为代表性论文 | 否 |
七大方向——子方向分类 | 三维视觉 |
国重实验室规划方向分类 | 视觉信息处理 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57443 |
专题 | 多模态人工智能系统全国重点实验室_机器人视觉 |
通讯作者 | Cui Jinqiang; Zhang Hong |
作者单位 | 1.Department of Electronic and Electrical Engineering, Southern University of Science and Technology 2.Peng Cheng Laboratory 3.State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences 4.School of Artificial Intelligence, University of Chinese Academy of Sciences 5.Tsinghua Shenzhen International Graduate School, Tsinghua University |
推荐引用方式 GB/T 7714 | Liu Bingxi,Fu Yujie,Lu Feng,et al. NPR: Nocturnal Place Recognition Using Nighttime Translation in Large-Scale Training Procedures[J]. IEEE Journal of Selected Topics in Signal Processing,2024,Early Access:1-13. |
APA | Liu Bingxi,Fu Yujie,Lu Feng,Cui Jinqiang,Wu Yihong,&Zhang Hong.(2024).NPR: Nocturnal Place Recognition Using Nighttime Translation in Large-Scale Training Procedures.IEEE Journal of Selected Topics in Signal Processing,Early Access,1-13. |
MLA | Liu Bingxi,et al."NPR: Nocturnal Place Recognition Using Nighttime Translation in Large-Scale Training Procedures".IEEE Journal of Selected Topics in Signal Processing Early Access(2024):1-13. |
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NPR_Nocturnal_Place_(12989KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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