4 citations · 5 across the 4 of their papers we have counts for
4 papers
Multimodal Informative ViT: Information Aggregation and Distribution for Hyperspectral and LiDAR Classification
Jiaqing Zhang, Jie Lei, Weiying Xie +3
In multimodal land cover classification (MLCC), a common challenge is the redundancy in data distribution, where irrelevant information from multiple modalities can hinder the effe…
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients
DaiXun Li, Weiying Xie, ZiXuan Wang +3
With the rapid development of imaging sensor technology in the field of remote sensing, multi-modal remote sensing data fusion has emerged as a crucial research direction for land…
RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation
Weiying Xie, Zixuan Wang, Jitao Ma +2
Distributed deep learning has recently been attracting more attention in remote sensing (RS) applications due to the challenges posed by the increased amount of open data that are…
MDFL: Multi-domain Diffusion-driven Feature Learning
Daixun Li, Weiying Xie, Jiaqing Zhang +1
High-dimensional images, known for their rich semantic information, are widely applied in remote sensing and other fields. The spatial information in these images reflects the obje…