Abstract: Unsupervised Video Anomaly Detection (VAD) has garnered significant attention for its ability to exploit unlabeled videos. However, VAD faces two primary challenges arising from the absence ...

For decades, the standard technical requirement for a law student was a mastery of Westlaw and a passing familiarity with ...

Abstract: Self-supervised Learning (SSL) aims to learn transferable feature representations for downstream applications without relying on labeled data. The Barlow Twins algorithm, renowned for its ...

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...