Simple vs. Stratified Random Sampling: Key Differences Explained

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.
IEEE

D2S-RSG-SSD: Dual Double-Sampling with Random Sub-Samples Generation for Self-Supervised Real Image Denoising

Abstract: Recent advances in self-supervised image denoising have highlighted the potential of Blind-Spot Networks (BSNs). However, existing methods suffer from three major limitations: (1) Their ...
GitHub

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

[2025-06-01] Many thanks to @aherzinger for implementing and refactoring the Generator and RAG models. [2025-05-30] Huge thanks to @baraayusry for implementing the Online Retriever using CrawAI and ...
IEEE

An Adaptive Pseudo-Labeled Sample Generation Approach to Unsupervised Multi-class Change Detection in Bi-temporal Remote Sensing Images

Abstract: Multi-class change detection (CD) in multitemporal multi-/hyperspectral remote sensing images is a significant yet challenging task, particularly when prior knowledge and ground reference ...