Multispectral Fusion Transformer Network for RGB-Thermal Urban Scene Semantic Segmentation
Author:
Affiliation:
1. School of Electronic Engineering, Xidian University, Xi’an, China
2. PLA Academy of Military Science (AMS), Institute of Systems Engineering, Beijing, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Innovation Fund of Xidian University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09789430.pdf?arnumber=9789430
Reference22 articles.
1. RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes
2. PST900: RGB-Thermal Calibration, Dataset and Segmentation Network
3. FuseSeg: Semantic Segmentation of Urban Scenes Based on RGB and Thermal Data Fusion
4. FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
5. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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