Conversely, 3D-DGH29, DeepCGH3, and Neural Holography24,27 leverage unsu- pervised training by only specifying the desired amplitude at one or multiple depth planes and rely on the CNN itself to discover the optimal phase-only holograms analogous to the optimization-based methods. These ...
This paper focuses on the task of room layout estimation from a monocular RGB image. Prior works break the problem into two sub-tasks: semantic segmentation of the floor, walls, celling to produce layout hypotheses, followed by an interactive optimization step to rank these hypotheses. 这篇论文...
To facilitate development of hyper-convergent memory, Synopsys provides fast technology pathfinding, design-technology co-optimization (DTCO), and early design PPA assessments using early process development kit generation flow and integration between TCAD and custom/digital design tools. This is augmented...
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Returns the end padding of this view depending on its resolved layout direction. If there are inset and enabled scrollbars, this value may include the space required to display the scrollbars as well. Java documentation for android.view.View.getPaddingEnd(). Portions of this page are modificati...
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itself to discover the optimal phase-only holograms analogous to the optimization-based methods. These networks significantly speed up the runtime, but they inherit the remaining problems associated with their parent methods. The employed 3D scene representations also have intrinsic limitations in ...
Benefiting from the rapid development of convolutional neural networks, the performance of car license plate detection and recognition has been largely imp
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