Leidos’ Vice President of Global Security Products, Nik Karnik discusses why building airport security “isn’t just a business ...
Abstract: Open world object detection (OWOD) aims to identify both known instances of trained classes and unknown ones. Despite recent advancements, existing methods exhibit a detection bias towards ...
Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Abstract: The goal of the personal protective equipment (PPE) detection at construction sites in this study is to employ contemporary deep learning technology to increase safety and compliance.
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