5 papers
DDFusion:Degradation-Decoupled Fusion Framework for Robust Infrared and Visible Images Fusion
Tianpei Zhang, Jufeng Zhao, Yiming Zhu +2
Conventional infrared and visible image fusion(IVIF) methods often assume high-quality inputs, neglecting real-world degradations such as low-light and noise, which limits their pr…
SWAN: Synergistic Wavelet-Attention Network for Infrared Small Target Detection
Yuxin Jing, Jufeng Zhao, Tianpei Zhang +1
Infrared small target detection (IRSTD) is thus critical in both civilian and military applications. This study addresses the challenge of precisely IRSTD in complex backgrounds. R…
Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead
Yuxin Jing, Yuchen Zheng, Jufeng Zhao +2
Infrared small target detection(IRSTD) is widely recognized as a challenging task due to the inherent limitations of infrared imaging, including low signal-to-noise ratios, lack of…
Selective Variable Convolution Meets Dynamic Content-Guided Attention for Infrared Small Target Detection
Yirui Chen, Yiming Zhu, Yuxin Jing +2
Infrared Small Target Detection (IRSTD) system aims to identify small targets in complex backgrounds. Due to the convolution operation in Convolutional Neural Networks (CNNs), appl…
LAM-YOLO: Drones-based Small Object Detection on Lighting-Occlusion Attention Mechanism YOLO
Yuchen Zheng, Yuxin Jing, Jufeng Zhao +1
Drone-based target detection presents inherent challenges, such as the high density and overlap of targets in drone-based images, as well as the blurriness of targets under varying…