Abstract: The hyperspectral anomaly detection (HAD) aims to identify potential anomalies from complex backgrounds. Most reconstruction-based autoencoders equally treat background pixels and anomalies ...

This paper proposes Synonymous Variational Inference, a novel variational inference that first theoretically explains the core reason for the divergence term’s ...

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...

Abstract: Feature extraction is an essential step in traditional machine learning approaches for detecting upper limb use employing movement data from inertial measurement units. However, manual ...