Abstract: Currently, few-shot learning (FSL) is widely used in image classification hyperspectral image classification (HSIC), owing to its exceptional proficiency in achieving good performance with ...
Abstract: Hyperspectral image classification (HSIC) is crucial in several fields, but relies on a large number of labeled samples. Due to the high cost of manual annotation and the scarcity of samples ...
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 ...
Imager is a specialized utility developed to automate the manual bottleneck of gathering image datasets. Unlike traditional scraping methods that struggle with JavaScript-heavy sites, Imager leverages ...
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