Multi-View Vehicle Detection Based on Fusion Part Model With Active Learning-Reference-Cited by-同舟云学术

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Multi-View Vehicle Detection Based on Fusion Part Model With Active Learning

Published:2021-05 Issue:5 Volume:22 Page:3146-3157
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Li Dong Lin,Prasad Mukesh^ORCID,Liu Chih-Ling,Lin Chin-Teng^ORCID

Funder

Australian Research Council

U.S. Army Research Laboratory

Taiwan Ministry of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9420410/09057504.pdf?arnumber=9057504

Cited by 14 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. Multi-Task Feature Decoupling Network with clear division of labor for vehicle component detection;Advanced Engineering Informatics;2024-10

2. Yolo-3DMM for Simultaneous Multiple Object Detection and Tracking in Traffic Scenarios;IEEE Transactions on Intelligent Transportation Systems;2024-08

3. A Joint Method for Combat Intent Recognition and Key Information Extraction;Communications in Computer and Information Science;2024

4. Large field monitoring system of vehicle load on long-span bridge based on the fusion of multiple vision and WIM data;Automation in Construction;2023-10

5. Manifold-Contrastive Broad Learning System for Wheelset Bearing Fault Diagnosis;IEEE Transactions on Intelligent Transportation Systems;2023-09

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