Dual-Space Graph-Based Interaction Network for RGB-Thermal Semantic Segmentation in Electric Power Scene
Author:
Affiliation:
1. College of IoT Engineering, Hohai University, Changzhou, China
Funder
National Natural Science Foundation of China
Key Research and Development Plan of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/10091959/09927165.pdf?arnumber=9927165
Reference60 articles.
1. ECFFNet: Effective and Consistent Feature Fusion Network for RGB-T Salient Object Detection
2. FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
3. Multispectral Object Detection for Autonomous Vehicles
4. RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
5. GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation
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