Semantic Segmentation in Thermal Videos: A New Benchmark and Multi-Granularity Contrastive Learning-Based Framework-Reference-Cited by-同舟云学术

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Semantic Segmentation in Thermal Videos: A New Benchmark and Multi-Granularity Contrastive Learning-Based Framework

Published:2023-12 Issue:12 Volume:24 Page:14783-14799
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zheng Yu¹^ORCID,Zhou Fugen¹^ORCID,Liang Shangying¹,Song Wentao¹,Bai Xiangzhi¹^ORCID

Affiliation:

1. Image Processing Center, Beihang University (BUAA), Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10339106/10214019.pdf?arnumber=10214019

Reference91 articles.

1. Contextual deconvolution network for semantic segmentation

2. Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation

3. Encoder–decoder with atrous separable convolution for semantic image segmentation;chen;Proc Eur Conf Comput Vis,2018

4. MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation

5. Deep High-Resolution Representation Learning for Visual Recognition

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