Abstract: While deep neural network (DNN) models have become extremely popular for object detection in automated driving systems (ADS), the dynamic and varied nature of the road traffic environment ...

Abstract: Object identification in computer vision is a crucial task with applications in many areas, including robotics, surveillance, and self-driving cars. Deep learning architecture called Single ...

Object discovery, which refers to the task of localizing objects without human annotations, has gained significant attention in 2D image analysis. However, despite this growing interest, it remains ...

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: twist domains (areas where one atomic layer is slightly rotated relative ...