Method, electronic device, and computer program product for acquiring image

An electronic device, comprising:

• at least one processor;
• and
• a memory coupled to the at least one processor and having instructions stored thereon, wherein the instructions, when executed by the at least one processor, cause the electronic device to perform actions comprising:
• distilling an original image set through a capsule neural network model to generate a distilled image set, the distilled image set comprising a plurality of distilled images;
• acquiring a first feature of a first image through the capsule neural network model;
• acquiring a plurality of distilling features of the plurality of distilled images respectively through the capsule neural network model;
• determining a plurality of similarities between the first feature and the plurality of distilling features respectively;
• and
• acquiring at least one original image matching the first image based on the plurality of similarities.

A computer program product that is tangibly stored on a non-transitory computer-readable medium and comprises machine-executable instructions, wherein the machine-executable instructions, when executed by a machine, cause the machine to perform actions comprising:

• distilling an original image set through a capsule neural network model to generate a distilled image set, the distilled image set comprising a plurality of distilled images;
• acquiring a first feature of a first image through the capsule neural network model;
• acquiring a plurality of distilling features of the plurality of distilled images respectively through the capsule neural network model;
• determining a plurality of similarities between the first feature and the plurality of distilling features respectively;
• and
• acquiring at least one original image matching the first image based on the plurality of similarities.