3 papers
astro-ph.CO2024
Velocity recostruction with graph neural networks
Hideki Tanimura, Albert Bonnefous, Jia Liu +1
In this work, we seek to improve the velocity reconstruction of clusters by using Graph Neural Networks -- a type of deep neural network designed to analyze sparse, unstructured da…
cs.CV2023
Explicit Change Relation Learning for Change Detection in VHR Remote Sensing Images
Dalong Zheng, Zebin Wu, Jia Liu +2
Change detection has always been a concerned task in the interpretation of remote sensing images. It is essentially a unique binary classification task with two inputs, and there i…
cs.CV2023
SwinV2DNet: Pyramid and Self-Supervision Compounded Feature Learning for Remote Sensing Images Change Detection
Dalong Zheng, Zebin Wu, Jia Liu +1
Among the current mainstream change detection networks, transformer is deficient in the ability to capture accurate low-level details, while convolutional neural network (CNN) is w…