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1. Classification and localization of extreme outliers in computer vision tasks in surveillance scenarios
University essay from KTH/Hälsoinformatik och logistikAbstract : Convolutional neural networks (CNN) have come a long way and can be trained toclassify many of the objects around us. Despite this, researchers do not fullyunderstand how CNN models learn features (edges, shapes, contours, etc.) fromdata. READ MORE
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