Abstract: We present LiV-GS, a LiDAR-visual SLAM system in outdoor environments that leverages 3D Gaussian as a differentiable spatial representation. Notably, LiV-GS is the first method that directly ...

Abstract: In recent years, transfer learning-based fault diagnosis methods have achieved significant performance. However, most studies directly map the source and target features into the same space, ...

This is the official implementation of our paper GaussianImage, a groundbreaking paradigm of image representation and compression by 2D Gaussian Splatting. With compact 2D Gaussian representation and ...

A controlled empirical study of signal-to-image input representations for few-shot bearing fault diagnosis with a fixed SC-MambaFew backbone. This repository presents a systematic analysis of the ...