Object recognition method and apparatus, and storage medium

An object recognition method, comprising:

• receiving an image of an object to be recognized;
• inputting the image of the object to be recognized into a pre-trained image feature extractor to obtain a first feature vector of the image of the object to be recognized;
• and
• determining category information of the object to be recognized according to the first feature vector of the image of the object to be recognized and image feature vectors in an image database, wherein the image database contains image information of a plurality of objects, wherein the image information of each of the plurality of objects at least comprises the category information of the object and the first feature vector of the image, wherein the first feature vector is a feature vector in the form of floating-point number;
• wherein determining the category information of the object to be recognized according to the first feature vector of the image of the object to be recognized as well as image feature vectors in the image database comprises:
• inputting the first feature vector of the image of the object to be recognized into a pre-trained feature quantizer to obtain a second feature vector of the image of the object to be recognized, and the second feature vector being a binary feature vector;
• and
• determining the category information of the object to be recognized according to the first feature vector and the second feature vector of the image of the object to be recognized as well as image feature vectors in an image database.