FocusTR: Focusing on Valuable Feature by Multiple Transformers for Fusing Feature Pyramid on Object Detection-Reference-Cited by-同舟云学术

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FocusTR: Focusing on Valuable Feature by Multiple Transformers for Fusing Feature Pyramid on Object Detection

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Xie Bangquan¹,Yang Liang²,Yang Zongming³,Wei Ailin⁴,Weng Xiaoxiong¹,Li Bing³

Affiliation:

1. School of Civil Engineering and Transportation, South China University of Technology,Guangzhou,China,510641

2. The City College of New York,New York,NY,USA,10031

3. Clemson University International Center for Automotive Research (CU-ICAR),Department of Automotive Engineering,Greenville,SC,USA,29607

4. Clemson University,Department of Bioengineering,Clemson,SC,USA,29631

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981047.pdf?arnumber=9981047

Reference38 articles.

1. Improving 3D Object Detection with Channel-wise Transformer

2. Vpfnet: Improving 3d object detection with virtual point based lidar and stereo data fusion;zhu;ArXiv Preprint,2021

3. Context-Transformer: Tackling Object Confusion for Few-Shot Detection

4. Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots

5. Feature Pyramid Networks for Object Detection

Cited by 1 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. CrossFuser: Multi-Modal Feature Fusion for End-to-End Autonomous Driving Under Unseen Weather Conditions;IEEE Transactions on Intelligent Transportation Systems;2023-12

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