GitHub

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...
IEEE

RFTransUNet: Res-Feature Cross Vision Transformer-Based UNet for Building Extraction From High-Resolution Remote Sensing Images

Abstract: As the core carriers of human activities, buildings represent not only the fundamental components of urban spatial structures but also serve critical functions in global resource management, ...
GitHub

IGN LiDAR HD Processing Library

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...
IEEE

Fusion of Static and Dynamic Features of Vision Signal Based on Transformer for Penetration Depth Forecasting in Laser Beam Oscillation Welding

Abstract: The penetration depth is a key factor that determines the load-bearing capacity of welded joint, so its monitoring is particularly important. Compared with image-based deep learning, the ...