APFN: Adaptive Perspective-Based Fusion Network for 3-D Place Recognition-Reference-Cited by-同舟云学术

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APFN: Adaptive Perspective-Based Fusion Network for 3-D Place Recognition

Published:2024 Issue: Volume:73 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhu Jianxiang¹^ORCID,Yang Keni¹^ORCID,Zhang Yangchun¹^ORCID,Peng Yan²^ORCID,Peng Yaxin³^ORCID

Affiliation:

1. Department of Mathematics, College of Sciences, Shanghai University, Shanghai, China

2. School of Future Technology, Shanghai University, Shanghai, China

3. Department of Mathematics, the College of Sciences, and the School of Future Technology, Shanghai University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10568974.pdf?arnumber=10568974

Reference47 articles.

1. NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

2. EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition

3. An Efficient 3-D Point Cloud Place Recognition Approach Based on Feature Point Extraction and Transformer

4. Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Reinforcement Learning

5. Texture Mapping for 3D Reconstruction with RGB-D Sensor

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