Image disambiguation method and apparatus, storage medium, and electronic device

An electronic device, comprising:

• a processor;
• and
• a memory for storing instructions executable by the processor;
• wherein execution of the instructions by the processor causes the processor to perform:
• performing image feature extraction and semantic recognition on at least two images in an image set comprising similar targets to obtain N K-dimensional semantic feature probability vectors, wherein the image set comprises N images, N and K are both positive integers, and N is greater than or equal to 2;
• determining a differential feature combination according to the N K-dimensional semantic feature probability vectors, wherein the differential feature combination indicates a difference between the similar targets in the at least two images in the image set;
• and
• generating a natural language used for representing or prompting the difference between the similar targets in the at least two images in the image set according to the differential feature combination and image features of the at least two images in the image set.

A non-transitory computer-readable storage medium configured to store computer-readable instructions, wherein execution of the instructions by the processor causes the processor to perform:

• performing image feature extraction and semantic recognition on at least two images in an image set comprising similar targets to obtain N K-dimensional semantic feature probability vectors, wherein the image set comprises N images, N and K are both positive integers, and N is greater than or equal to 2;
• determining a differential feature combination according to the N K-dimensional semantic feature probability vectors, wherein the differential feature combination indicates a difference between the similar targets in the at least two images in the image set;
• and
• generating a natural language used for representing or prompting the difference between the similar targets in the at least two images in the image set according to the differential feature combination and image features of the at least two images in the image set.