Feature extraction model generating method, image feature extracting method and apparatus

A method of feature extraction model generation, comprising:

• obtaining a plurality of candidate images;
• determining a clustering tree corresponding to the plurality of candidate images based on a feature extraction model and the plurality of candidate images, wherein the clustering tree comprises clusters at a plurality of layers;
• generating a target sample pair based on the plurality of candidate images and the clustering tree, wherein the target sample pair comprises an image sample pair and a feature sample pair, the image sample pair is formed based on two different candidate images, and the feature sample pair is formed based on features of the candidate images and features of cluster centers of the clusters;
• and
• training the feature extraction model based on the target sample pair.

A non-transitory computer-readable medium, storing a computer program thereon, wherein the program, when executed by a processing device, implements a method of feature extraction model generation, the method comprising:

• obtaining a plurality of candidate images;
• determining a clustering tree corresponding to the plurality of candidate images based on a feature extraction model and the plurality of candidate images, wherein the clustering tree comprises clusters at a plurality of layers;
• generating a target sample pair based on the plurality of candidate images and the clustering tree, wherein the target sample pair comprises an image sample pair and a feature sample pair, the image sample pair is formed based on two different candidate images, and the feature sample pair is formed based on features of the candidate images and features of cluster centers of the clusters;
• and
• training the feature extraction model based on the target sample pair.

An electronic device, comprising:

• a storage device, storing at least one computer program thereon;
• at least one processing device, for executing the at least one computer program in the storage device to implement a method of feature extraction model generation, comprising:
• obtaining a plurality of candidate images;
• determining a clustering tree corresponding to the plurality of candidate images based on a feature extraction model and the plurality of candidate images, wherein the clustering tree comprises clusters at a plurality of layers;
• generating a target sample pair based on the plurality of candidate images and the clustering tree, wherein the target sample pair comprises an image sample pair and a feature sample pair, the image sample pair is formed based on two different candidate images, and the feature sample pair is formed based on features of the candidate images and features of cluster centers of the clusters;
• and
• training the feature extraction model based on the target sample pair.