3 citations · 4 across the 6 of their papers we have counts for
6 papers
RAH-VLA: Resolution-Adaptive Hierarchical Vision-Language Alignment for Multimodal Remote Sensing Understanding
Siyu Zhang, Lianlei Shan, Runhe Qiu +1
Multimodal vision-language modeling has emerged as a promising paradigm for remote sensing (RS) image understanding. However, existing methods are limited by fixed-resolution visua…
Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation
Minglong Li, Lianlei Shan, Weiqiang Wang +3
Recently, there have been significant improvements in the accuracy of CNN models for semantic segmentation. However, these models are often heavy and suffer from low inference spee…
Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation
Ruochen Pi, Lianlei Shan
Collecting and annotating medical images is a time-consuming and resource-intensive task. However, generating synthetic data through models such as Diffusion offers a cost-effectiv…
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images
Lianlei Shan, Weiqiang Wang, Ke Lv +1
Semantic segmentation requires pixel-level annotation, which is time-consuming. Active Learning (AL) is a promising method for reducing data annotation costs. Due to the gap betwee…
Continual Learning for Image Segmentation with Dynamic Query
Weijia Wu, Yuzhong Zhao, Zhuang Li +3
Image segmentation based on continual learning exhibits a critical drop of performance, mainly due to catastrophic forgetting and background shift, as they are required to incorpor…
End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters
Guiqin Zhao, Lianlei Shan, Weiqiang Wang
Change detection based on remote sensing images has been a prominent area of interest in the field of remote sensing. Deep networks have demonstrated significant success in detecti…