Image semantic segmentation with hierarchical feature fusion based on deep neural network-Reference-Cited by-同舟云学术

Image semantic segmentation with hierarchical feature fusion based on deep neural network

Published:2022-06-14 Issue:1 Volume:34 Page:1772-1784
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Yang Dawei¹,Du Yan²^ORCID,Yao Hongli¹,Bao Liyan¹

Affiliation:

1. Shenyang Ligong University, School of Information Science & Engineering, Shenyang, People’s Republic of China

2. Shenyang Ligong University, Center for Modern Education and Information Technology, Shenyang, People’s Republic of China

Funder

Education Department of Liaoning Province: Research on Target Tracking Algorithm Based on Siamese Network

Shenyang Ligong University

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2022.2082384

Reference33 articles.

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3. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

4. Chen, L.C., Papandreou, G., Schroff, F. & Adam, H. (2017b). Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587.

5. Fuzzy model-based clustering and its application in image segmentation

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