- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Aerodynamics and Fluid Dynamics Research
- Face recognition and analysis
- Material Properties and Failure Mechanisms
- Acupuncture Treatment Research Studies
- Infection Control and Ventilation
- Cavitation Phenomena in Pumps
- Aerospace Engineering and Energy Systems
- Infrared Target Detection Methodologies
- Rheology and Fluid Dynamics Studies
- Traditional Chinese Medicine Studies
- Image Enhancement Techniques
Hefei Institute of Technology Innovation
2024
Hong Kong Polytechnic University
2024
Shenzhen Institutes of Advanced Technology
2024
Chinese Academy of Sciences
2024
Beijing Institute of Technology
2023
Deep learning has become a popular technique for infrared and visible image fusion due to its powerful feature representation abilities. Existing methods often employ the CNN, Transformer, or mixed CNN-Transformer treat different modalities indiscriminately. However, we observe that these homogeneous networks (i.e., same network cross-modal) struggle handle specific characteristics of each modality, leading fused images being contaminated with interference lacking modality-specific...