A fine-grained image classification method combining YOLOv7 and bilinear multi-level feature fusion-Reference-Cited by-同舟云学术

A fine-grained image classification method combining YOLOv7 and bilinear multi-level feature fusion

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 11th International Conference on Networks, Communication and Computing
language:
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Author:

Huang Min¹^ORCID,Wang Zehua¹^ORCID,Zhu Saixing¹^ORCID

Affiliation:

1. College of Software Engineering, Zhengzhou University of Light Industry, China

Funder

Henan Province's key research and development and promotion project (scientific and technological breakthrough), multi-channel magnetic resonance phase reconstruction method research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3579895.3579950

Reference21 articles.

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2. A survey on fine-grained image categorization using deep convolutional features[J];Luo J H;Acta Automatica Sinica,2017

3. Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition

4. Gormus , Tunc E . Improved classification of remote sensing imagery using image fusion techniques[C]// IEEE International Conference on Computational Intelligence & Cybernetics . IEEE , 2013 . Gormus, Tunc E . Improved classification of remote sensing imagery using image fusion techniques[C]// IEEE International Conference on Computational Intelligence & Cybernetics. IEEE, 2013.

5. Pig face recognition algorithm based on bilinear convolution neural network[J];Qin X;Journal of Hangzhou Dianzi University,2019

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