Abstract: Due to the fundamental differences in structure between tabular data and image data, CNNs (Convolutional Neural Networks) are challenging to apply directly to the analysis and classification ...

GSPN recommends setting up a conda environment and installing dependencies via pip. Use the following commands to set up your environment: GSPN is a general-purpose parallel sequence modeling ...

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 ...

Abstract: Recent advancements in deep learning have significantly improved image classification models, yet extending these models to alternative data forms, such as point clouds from Light Detection ...