Such defects can lead to shorts, interference between neighboring memory strings, and other performance issues.” [4]. Stacking several decks of memory arrays (e.g. 2 decks of 64-layers to provide an ...

3D room layout estimation aims to reconstruct the holistic 3D structure from an indoor RGB image. For most of the deep learning-based methods, layout inference is guided by a kind of learned 2D ...

Convolutional Neural Networks (CNN) have been regarded as a powerful class of models for image recognition problems. Nevertheless, it is not trivial when utilizing a CNN for learning spatio-temporal ...