Object recognition method and apparatus, and device and medium

Abstract

Disclosed are an object recognition method and apparatus, and a device and a medium. The method comprises: by a convolutional layer in a convolutional neural network, extracting pre-selected feature information of objects to be recognized, and performing dimension reduction processing on the pre-selected feature information by using a pooling layer, to obtain feature information; processing the feature information by a fully connected layer, to obtain processed feature information, extracting a target feature value from the processed feature information, and compiling statistics on the number of objects to be recognized; by the fully connected layer and according to the target feature value, determining corresponding target queue information from pre-stored queue information; and by the fully connected layer, performing a comparative analysis on the processed feature information and reference feature information of each sample object in a queue corresponding to the target queue information, and outputting a corresponding recognition result.

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