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MULTI-DOMAIN CONVOLUTIONAL NEURAL NETWORK

机译:多域卷积神经网络

摘要

In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.
机译:在一个实施例中,装置包括存储器和处理器。存储器是存储与由一个或多个传感器捕获的视觉表示相关联的视觉数据。处理器是:获得与由一个或多个传感器捕获的视觉表示相关联的视觉数据,其中视觉数据包括未压缩的可视数据或压缩的视觉数据;使用卷积神经网络(CNN)处理视觉数据,其中CNN包括多个层,其中多个层包括多个滤波器,并且其中多个滤波器包括一个或多个像素域滤波器以执行处理与未压缩数据和一个或多个压缩域滤波器相关联,以执行与压缩数据相关联的处理;并基于CNN的输出对视觉数据进行分类。

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