Abstract: Visual Anomaly Detection (VAD) aims to identify abnormal samples in images that deviate from normal patterns, covering multiple domains, including industrial, logical, and medical fields.

Steven Nickolas is a writer and has 10+ years of experience working as a consultant to retail and institutional investors. Thomas J. Brock is a CFA and CPA with more than 20 years of experience in ...

Kristina Zucchi is an investment analyst and financial writer with 15+ years of experience managing portfolios and conducting equity research. Vikki Velasquez is a researcher and writer who has ...

The article 🌱 Patch AM: What’s replacing Bitty & Beau’s at Gervais and Park streets? appeared first on Columbia Patch. Hi ...

Companies spend billions on programs that don’t pay off. Here’s how to fix that. by Michael Beer, Magnus Finnström and Derek Schrader Corporations are victims of the great training robbery. American ...

Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...

Training generative adversarial networks (GANs) with limited data generally results in deteriorated performance and collapsed models. To conquerthis challenge, we are inspired by the latest ...

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CIMT is the Core Function lead for all initial military training and education to transform civilian volunteers into Soldiers who are disciplined, fit, combat ready and who increase Army readiness at ...