134 citations
- University of Science and Technology of ChinaCN14 papers
- Beijing Normal UniversityCN8 papers
- Kavli Institute for Theoretical SciencesCN8 papers
- University of Chinese Academy of SciencesCN8 papers
- Taiyuan University of TechnologyCN7 papers
- Hangzhou Dianzi UniversityCN6 papers
- Anhui University of Science and TechnologyCN4 papers
- Huazhong University of Science and TechnologyCN4 papers
- Anhui Science and Technology UniversityCN3 papers
- Australian National UniversityAU3 papers
- Chinese Academy of SciencesCN3 papers
- Curtin UniversityAU3 papers
5 papers · 1 filter
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image Dehazing
Jiamei Xiong, Xuefeng Yan, Yongzhen Wang +3
Haze severely degrades the visual quality of remote sensing images and hampers the performance of road extraction, vehicle detection, and traffic flow monitoring. The emerging deno…
Multi-layered Semantic Representation Network for Multi-label Image Classification
Xiwen Qu, Hao Che, Jun Huang +2
Multi-label image classification (MLIC) is a fundamental and practical task, which aims to assign multiple possible labels to an image. In recent years, many deep convolutional neu…
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images
Zixuan Xiao, Wei Xue, Ping Zhong
In remote sensing field, there are many applications of object detection in recent years, which demands a great number of labeled data. However, we may be faced with some cases whe…
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images
Zixuan Xiao, Ping Zhong, Yuan Quan +2
In recent years, there are many applications of object detection in remote sensing field, which demands a great number of labeled data. However, in many cases, data is extremely ra…
Uneven illumination surface defects inspection based on convolutional neural network
Hao Wu, Yulong Liu, Wenbin Gao +1
Surface defect inspection based on machine vision is often affected by uneven illumination. In order to improve the inspection rate of surface defects inspection under uneven illum…