Sniffer Faster R-CNN: A Joint Camera-LiDAR Object Detection Framework with Proposal Refinement-Reference-Cited by-同舟云学术

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Sniffer Faster R-CNN: A Joint Camera-LiDAR Object Detection Framework with Proposal Refinement

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)
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Author:

Dhakal Sudip¹,Chen Qi¹,Qu Deyuan¹,Carillo Dominic¹,Yang Qing¹,Fu Song¹

Affiliation:

1. University of North Texas,Department of Computer Science and Engineering,Denton,TX,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10210727/10210735/10210740.pdf?arnumber=10210740

Reference26 articles.

1. Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors

2. Variational Convolutional Neural Network Pruning

3. Deep Neural Network Pruning Based Two-Stage Remote Sensing Image Object Detection[J];wang;Journal of Northeastern University Natural Science,2019

4. PointPillars: Fast Encoders for Object Detection From Point Clouds

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. PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving Datasets;2024 12th International Conference on Intelligent Control and Information Processing (ICICIP);2024-03-08

2. Semantic Analysis System to Recognize Moving Objects by Using a Deep Learning Model;IEEE Access;2024

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