23 citations · 30 across the 7 of their papers we have counts for
9 papers
A large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic segmentation
Songlin Liu, Linwei Chen, Li Zhang +2
A few well-annotated datasets for land-cover semantic segmentation have recently been introduced to advance the field of earth observation technologies. However, these datasets ove…
Fourier Angle Alignment for Oriented Object Detection in Remote Sensing
Changyu Gu, Linwei Chen, Lin Gu +1
In remote sensing rotated object detection, mainstream methods suffer from two bottlenecks, directional incoherence at detector neck and task conflict at detecting head. Ulitising…
Spatial Frequency Modulation for Semantic Segmentation
Linwei Chen, Ying Fu, Lin Gu +2
High spatial frequency information, including fine details like textures, significantly contributes to the accuracy of semantic segmentation. However, according to the Nyquist-Shan…
Frequency-Dynamic Attention Modulation for Dense Prediction
Linwei Chen, Lin Gu, Ying Fu
Vision Transformers (ViTs) have significantly advanced computer vision, demonstrating strong performance across various tasks. However, the attention mechanism in ViTs makes each l…
Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer
Yuansheng Li, Yunhao Zou, Linwei Chen +1
Interferometric Hyperspectral Imaging (IHI) is a critical technique for large-scale remote sensing tasks due to its advantages in flux and spectral resolution. However, IHI is susc…
Frequency Dynamic Convolution for Dense Image Prediction
Linwei Chen, Lin Gu, Liang Li +2
While Dynamic Convolution (DY-Conv) has shown promising performance by enabling adaptive weight selection through multiple parallel weights combined with an attention mechanism, th…
Frequency-aware Feature Fusion for Dense Image Prediction
Linwei Chen, Ying Fu, Lin Gu +3
Dense image prediction tasks demand features with strong category information and precise spatial boundary details at high resolution. To achieve this, modern hierarchical models o…
When Semantic Segmentation Meets Frequency Aliasing
Linwei Chen, Lin Gu, Ying Fu
Despite recent advancements in semantic segmentation, where and what pixels are hard to segment remains largely unexplored. Existing research only separates an image into easy and…
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Linwei Chen, Lin Gu, Ying Fu
Dilated convolution, which expands the receptive field by inserting gaps between its consecutive elements, is widely employed in computer vision. In this study, we propose three st…