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Object recognition based on boosting binary convolutional neural network features
Object recognition based on boosting binary convolutional neural network features
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机译:基于boost二进制卷积神经网络特征的目标识别
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摘要
Techniques related to implementing convolutional neural networks for object recognition are discussed. Such techniques may include generating a set of binary neural features via convolutional neural network layers based on input image data and applying a strong classifier to the set of binary neural features to generate an object label for the input image data.
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