1 citations · 2 across the 4 of their papers we have counts for
4 papers
MO R-CNN: Multispectral Oriented R-CNN for Object Detection in Remote Sensing Image
Leiyu Wang, Biao Jin, Feng Huang +4
Oriented object detection for multi-spectral imagery faces significant challenges due to differences both within and between modalities. Although existing methods have improved det…
Text-IRSTD: Leveraging Semantic Text to Promote Infrared Small Target Detection in Complex Scenes
Feng Huang, Shuyuan Zheng, Zhaobing Qiu +3
Infrared small target detection is currently a hot and challenging task in computer vision. Existing methods usually focus on mining visual features of targets, which struggles to…
Single-Point Supervised High-Resolution Dynamic Network for Infrared Small Target Detection
Jing Wu, Rixiang Ni, Feng Huang +5
Infrared small target detection (IRSTD) tasks are extremely challenging for two main reasons: 1) it is difficult to obtain accurate labelling information that is critical to existi…
Efficient Meta-Learning Enabled Lightweight Multiscale Few-Shot Object Detection in Remote Sensing Images
Wenbin Guan, Zijiu Yang, Xiaohong Wu +4
Presently, the task of few-shot object detection (FSOD) in remote sensing images (RSIs) has become a focal point of attention. Numerous few-shot detectors, particularly those based…