R-Net: A novel fully convolutional network–based infrared image segmentation method for intelligent human behavior analysis-Reference-Cited by-同舟云学术

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R-Net: A novel fully convolutional network–based infrared image segmentation method for intelligent human behavior analysis

Published:2022-06 Issue: Volume:123 Page:104164
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Chen Shaohui,Xu Xiaogang,Yang Ningyu,Chen Xianghua,Du Feng,Ding Shuyong,Gao Wei

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference32 articles.

1. A review of deep learning methods for semantic segmentation of remote sensing imagery;Yuan;Expert Syst. Appl.,2021

2. Coarse-to-Fine Semantic Segmentation From Image-Level Labels;Jing;IEEE Trans. Image Process.,2020

3. Infrared head pose estimation with multi-scales feature fusion on the IRHP database for human attention recognition;Liu;Neurocomputing,2020

4. Nv-Net: Efficient infrared image segmentation with convolutional neural networks in the low illumination environment;Chen;Infrared Phys. Technol.,2020

5. Fully Convolutional Networks for Semantic Segmentation;Shelhamer;IEEE Trans. Pattern Anal. Mach. Intell.,2017

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