Multi-layer Feature Fusion and Selection from Convolutional Neural Networks for Texture Classification-Reference-Cited by-同舟云学术

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Multi-layer Feature Fusion and Selection from Convolutional Neural Networks for Texture Classification

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Author:

Fradi Hajer¹,Fradi Anis²³,Dugelay Jean-Luc¹

Affiliation:

1. Digital Security Department, EURECOM, Sophia Antipolis, France, --- Select a Country ---

2. University of Clermont Auvergne, CNRS LIMOS, Clermont-Ferrand, France, --- Select a Country ---

3. University of Monastir, Faculty of Sciences of Monastir, Tunisia, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 7 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. Deep Feature Retention Module Network for Texture Classification;Applied Sciences;2024-05-09

2. Deep Feature Fusion Classification Model for Identifying Machine Parts;Journal of Advanced Computational Intelligence and Intelligent Informatics;2023-09-20

3. Industrial Machinery Components Classification: A Case of D-S Pooling;Symmetry;2023-04-19

4. Context-Based Visual Sentiment Analysis for Social Media Data;2022 International Conference on Artificial Intelligence of Things (ICAIoT);2022-12-29

5. HRANet: histogram-residual-attention network used to measure neatness of toy placement;Signal, Image and Video Processing;2022-04-30

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