3 papers
cs.CV2026
Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion
Yonghao Xu, Pedram Ghamisi, Qihao Weng
Recent years have witnessed the remarkable success of deep learning in remote sensing image interpretation, driven by the availability of large-scale benchmark datasets. However, t…
cs.CV2024
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models
Weikang Yu, Yonghao Xu, Pedram Ghamisi
Deep neural networks (DNNs) have risen to prominence as key solutions in numerous AI applications for earth observation (AI4EO). However, their susceptibility to adversarial exampl…
cs.CV2024
Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data
Yonghao Xu, Pedram Ghamisi, Yannis Avrithis
Multi-target unsupervised domain adaptation (UDA) aims to learn a unified model to address the domain shift between multiple target domains. Due to the difficulty of obtaining anno…