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Image classification using images with separate grayscale and color channels

机译:使用具有单独的灰度和彩色通道的图像进行图像分类

摘要

Image classification techniques using images with separate grayscale and color channels are described. In one or more implementations, an image classification network includes grayscale filters and color filters which are separate from the grayscale filters. The grayscale filters are configured to extract grayscale features from a grayscale channel of an image, and the color filters are configured to extract color features from a color channel of the image. The extracted grayscale features and color features are used to identify an object in the image, and the image is classified based on the identified object.
机译:描述了使用具有单独的灰度和颜色通道的图像的图像分类技术。在一个或多个实施方式中,图像分类网络包括灰度滤波器和与灰度滤波器分离的彩色滤波器。灰度滤波器被配置为从图像的灰度通道中提取灰度特征,而彩色滤波器被配置为从图像的颜色通道中提取颜色特征。提取的灰度特征和颜色特征用于识别图像中的物体,并且基于识别出的物体对图像进行分类。

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