UTFNet: Uncertainty-Guided Trustworthy Fusion Network for RGB-Thermal Semantic Segmentation
Author:
Affiliation:
1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China
2. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China
Funder
Youth Project of the National Natural Science Foundation of China
Yunnan Fundamental Research Projects
Youth Project of the Xingdian Talent Support Plan of Yunnan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10273407.pdf?arnumber=10273407
Reference17 articles.
1. Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
2. CMX: Cross-modal fusion for RGB-X semantic segmentation with transformers;zhang;arXiv 2203 04838,2022
3. Delivering Arbitrary-Modal Semantic Segmentation
4. Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks
5. Improving RGB-Infrared Object Detection by Reducing Cross-Modality Redundancy
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