This repository contains a comprehensive guide and implementation for Linear Support Vector Machine (SVM) Classification using Python. The goal of this project is to provide a clear and practical ...

Abstract: For supervised classification, collection of large number of training samples is tedious and time consuming. Satellite data covering large area contains high diversity in land cover classes ...

Abstract: Graph few-shot learning aims to predict well by training with very few labeled data. Meta learning has been the most popular solution for few-shot learning problem. However, transductive ...

Upon its release in August 2025, DINOv3 marked a milestone in self-supervised representation learning for image processing. The 7-billion-parameter flagship model was distilled into a family of ...