Image recognition method and apparatus, electronic device and readable storage medium

An electronic device, comprising:

• at least one processor;
• and
• a memory communicatively connected with the at least one processor;
• wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform an image recognition method, wherein the image recognition method comprises:
• acquiring a to-be-recognized image and determining a to-be-recognized subject in the to-be-recognized image;
• extracting a subject feature of the to-be-recognized subject and obtaining a target feature according to the subject feature;
• determining a target candidate feature in a plurality of candidate features using the target feature;
• and
• acquiring a class corresponding to the target candidate feature as a recognition result of the to-be-recognized subject,
• wherein the extracting a subject feature of the to-be-recognized subject comprises:
• inputting the to-be-recognized subject into an image recognition model;
• and
• acquiring input content of a last layer in the image recognition model as the subject feature of the to-be-recognized subject.

A non-transitory computer readable storage medium with computer instructions stored thereon, wherein the computer instructions are used for causing a computer to perform an image recognition method, wherein the image recognition method comprises:

• acquiring a to-be-recognized image, and determining a to-be-recognized subject in the to-be-recognized image;
• extracting a subject feature of the to-be-recognized subject, and obtaining a target feature according to the subject feature;
• determining a target candidate feature in a plurality of candidate features using the target feature;
• and
• acquiring a class corresponding to the target candidate feature as a recognition result of the to-be-recognized subject,
• wherein the extracting a subject feature of the to-be-recognized subject comprises:
• inputting the to-be-recognized subject into an image recognition model;
• and
• acquiring input content of a last layer in the image recognition model as the subject feature of the to-be-recognized subject.