Embedding Pose Information for Multiview Vehicle Model Recognition-Reference-Cited by-同舟云学术

Embedding Pose Information for Multiview Vehicle Model Recognition

Published:2022-08 Issue:8 Volume:32 Page:5467-5480
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Yu Ye¹^ORCID,Liu Haitao¹,Fu Yuanzi¹,Jia Wei¹^ORCID,Yu Jun²^ORCID,Yan Zhisheng³^ORCID

Affiliation:

1. Key Laboratory of Knowledge Engineering With Big Data, Ministry of Education, and the School of Computer Science and Information, Hefei University of Technology, Hefei, China

2. Department of Automation, University of Science and Technology of China, Hefei, China

3. Department of Information Science and Technology, School of Computing, George Mason University, Fairfax, VA, USA

Funder

National Natural Science Foundation of China

Provincial Key Research and Development Program of Anhui Province

CAAI-Huawei MindSpore Open

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9849156/09712308.pdf?arnumber=9712308

Reference63 articles.

1. The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

2. Aggregated Residual Transformations for Deep Neural Networks

3. Multi-View Vehicle Type Recognition With Feedback-Enhancement Multi-Branch CNNs

4. BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance

5. Location-aware fine-grained vehicle type recognition using multi-task deep networks

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