TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition
Author:
Affiliation:
1. University of Coimbra, Institute of Systems and Robotics,Department of Electrical and Computer Engineering,Portugal
2. Freie Universität Berlin,Dahlem Center for Machine Learning and Robotics,Berlin
Funder
FCT
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420842/10420843/10421819.pdf?arnumber=10421819
Reference30 articles.
1. LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM
2. Place recognition survey: An update on deep learning approaches;Barros;arXiv preprint,2021
3. Instance-level Image Retrieval using Reranking Transformers
4. ETR: An Efficient Transformer for Re-ranking in Visual Place Recognition
5. Deep Learning for Instance Retrieval: A Survey
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