23 citations · 28 across the 5 of their papers we have counts for
6 papers
Prototype-Based Pseudo-Label Denoising for Source-Free Domain Adaptation in Remote Sensing Semantic Segmentation
Bin Wang, Fei Deng, Zeyu Chen +2
Source-Free Domain Adaptation (SFDA) enables domain adaptation for semantic segmentation of Remote Sensing Images (RSIs) using only a well-trained source model and unlabeled target…
SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
Shuang Wang, Fei Deng, Peifan Jiang +2
Due to limitations such as geographic, physical, or economic factors, collected seismic data often have missing traces. Traditional seismic data reconstruction methods face the cha…
DREMnet: An Interpretable Denoising Framework for Semi-Airborne Transient Electromagnetic Signal
Shuang Wang, Ming Guo, Xuben Wang +4
The semi-airborne transient electromagnetic method (SATEM) is capable of conducting rapid surveys over large-scale and hard-to-reach areas. However, the acquired signals are often…
3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
Peifan Jiang, Xuben Wang, Shuang Wang +4
Magnetotelluric deep learning (DL) inversion methods based on joint data-driven and physics-driven have become a hot topic in recent years. When mapping observation data (or forwar…
EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network
Bin Wang, Fei Deng, Peifan Jiang
Electroencephalogram (EEG) signals play a pivotal role in clinical medicine, brain research, and neurological disease studies. However, susceptibility to various physiological and…
WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information Fusion
Bin Wang, Fei Deng, Peifan Jiang +3
Low-dose computed tomography (LDCT) has become the technology of choice for diagnostic medical imaging, given its lower radiation dose compared to standard CT, despite increasing i…