Abstract: Zero-Shot Anomaly Detection (ZSAD) aims to identify anomalies in unseen categories or scenarios. Recently, Vision-Language Models (VLMs), most notably CLIP, have been utilized to enhance ...
Advanced modeling has revealed an Australia-shaped magnetic anomaly beneath the country's Northern Territory that holds valuable information about Australia's geological history. When you purchase ...
Michael Morton was sentenced to life for his wife’s murder in 1987. He was innocent. And the police knew it. For 25 years, critical evidence was hidden—until a blood-stained bandana exposed the real ...
This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...
The Indian Space Research Organisation's (ISRO) first satellite launch of the year was cut short on Monday (January 12) after an anomaly was detected during the third stage of the PSLV-62 rocket's ...
Earnings announcements are one of the few scheduled events that consistently move markets. Prices react not just to the reported numbers, but to how those numbers compare with expectations. A small ...
ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...
Abstract: Anomaly detection is a key technology in quality control for automated production lines. Currently, 2D-based anomaly detection methods fail to identify geometric structure anomalies in ...
This repository contains the source code, scripts, and supplementary materials for the paper: "A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder ...
5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?
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