Abstract: Weakly supervised video anomaly detection is a challenging problem due to the lack of frame-level labels in training videos. Most previous works typically tackle this task with the multiple ...

This article proposes DualFlow, an unsupervised anomaly detection and localization algorithm based on normalizing flow. DualFlow uses a dual-branch architecture to effectively balance the detection ...

The workflow includes data cleaning, feature engineering, exploratory data analysis (EDA), anomaly detection using Isolation Forest, and interactive visualization through a Streamlit dashboard. Some ...

A Streamlit-based application using Isolation Forest on the KDD Dataset 🚀 Overview This app is an interactive web-based tool built using Streamlit that performs unsupervised anomaly detection on ...

A clear understanding of data flow is key to managing data in a way that supports your business goals. The key components of data flow are: A common way to visualize data flow is through data flow ...