Contextual performance metrics: using synthetic data and automated characterization to contextualize deep neural network performance
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Contextual performance metrics: using synthetic data and automated characterization to contextualize deep neural network performance
Machine Learning (ML) and Artificial intelligence (AI) have increased automation potential within defense applications such as border protection, compound security, and surveillance applications. One common model type used in these systems is object detection, an approach to detecting and localizing objects of interest within images. However ...
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