Multi-attribute Vehicle Recognition with Feature Fusion Using Muti-Gate Unit-Reference-Cited by-同舟云学术

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Multi-attribute Vehicle Recognition with Feature Fusion Using Muti-Gate Unit

Published:2023-02 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS)
language:
Short-container-title:

Author:

Jiang Yusheng¹,Han Liang¹,Tao Pin²,Feng Xiaopeng³

Affiliation:

1. Qinghai University,Department of Computer Technology and Application,Bengbu,China

2. Tsinghua University,Department of Computer Technology and Application,Xining,China

3. Qinghai University,Department of Computer Technology and Application,Nanchong,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10145214/10145216/10145257.pdf?arnumber=10145257

Reference18 articles.

1. Bilinear CNN Models for Fine-Grained Visual Recognition

2. See better before looking closer: Weakly supervised data augmentation network for fine-grained visual classification[J];hu;arXiv preprint arXiv 1901 09094,2019

3. A ConvNet for the 2020s

4. Deep Residual Learning for Image Recognition

5. Part-based R-CNNs for fine-grained category detection[C];zhang;European Conference on Computer Vision,2014

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