Density-Based Clustering for 3D Object Detection in Point Clouds
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9142308/9156271/09157530.pdf?arnumber=9157530
Cited by 15 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. Unsupervised machine learning and depth clusters of Euler deconvolution of magnetic data: a new approach to imaging geological structures;Exploration Geophysics;2024-01-04
2. VINet: Lightweight, scalable, and heterogeneous cooperative perception for 3D object detection;Mechanical Systems and Signal Processing;2023-12
3. DECI: A Differential Entropy-Based Compactness Index for Point Clouds Analysis: Method and Potential Applications;The 4th International Electronic Conference on Applied Sciences;2023-11-02
4. Boosting Unsupervised Domain Adaptation for 3D Object Detection in Point Clouds with 2D Image Semantic Information;2023 IEEE 19th International Conference on Automation Science and Engineering (CASE);2023-08-26
5. PointClustering: Unsupervised Point Cloud Pre-training using Transformation Invariance in Clustering;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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