07.2025: Dinomaly has been integrated in Intel open-edge Anomalib in v2.1.0. Great thanks to the contributors for the nice reproduction and integration. Anomalib is a comprehensive library for ...
Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...
ABSTRACT: The accelerating sophistication of cyberattacks poses unprecedented challenges for national security, critical infrastructures, and global digital resilience. Traditional signature-based ...
Why is this important? This upgrade will allow users to pull source material directly from their Gmail, Drive, or Chat, eliminating the need to manually download and upload files. Why should I care?
ABSTRACT: Healthcare cyberattacks rise as attackers leverage system and human vulnerabilities. The existing security systems are technology-driven as they focus on system resilience, but they neglect ...
Reinforcement-Learning-for-Dynamic-Compliance-Risk-Prediction-in-Financial-Operations Reinforcement-Learning-for-Dynamic-Compliance-Risk-Prediction-in-Financial-Operations Public This repository ...
Hairfall is a primary concern for many individuals worldwide today. Hair strands may fall due to various conditions such as hereditary factors, scalp health issues, nutritional deficiencies, hormonal ...
Abstract: A contextual anomaly is a subtype of anomaly that, when observed in isolation, may not have the characteristics of an anomaly but becomes one when observed within a given context. Contextual ...
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