Feature extraction method and apparatus

An electronic device, comprising:

• a processor, and
• a memory processor coupled to the processor to store instructions, which when executed by the processor, cause the electronic device to perform operations comprising:
• obtaining a first feature that is obtained by performing feature extraction on a first vector by using a first feature extraction model, wherein the first vector indicates a first segmented object that comprises some elements in an object to be processed;
• obtaining a plurality of second features that is obtained by performing feature extraction on a second vector by using a second feature extraction model, wherein the second vector indicates some elements in the first segmented object;
• fusing at least two second features based on a first target weight, to obtain a first fused feature, wherein the first target weight is determined based on a first parameter value indicating a similarity between each of the at least two second features and a target second feature, and the target second feature is any one of the at least two second features;
• or the first target weight is a second parameter value comprising at least one preset constant;
• and
• performing fusion processing on the first feature and the first fused feature to obtain a second fused feature used to obtain a feature of the object.

A non-transitory computer-readable storage medium having instructions stored therein, which when executed a processor, cause an electronic device to perform operations comprising:

• obtaining a first feature and a plurality of second features that is obtained by performing feature extraction on a first vector by using a first feature extraction model, wherein the first vector indicates a first segmented object that comprises some elements in an object to be processed;
• obtaining a plurality of second features that is obtained by performing feature extraction on a second vector by using a second feature extraction model, wherein the second vector indicates some elements in the first segmented object;
• fusing at least two second features based on a first target weight, to obtain a first fused feature, wherein the first target weight is determined based on a first parameter value indicating a similarity between each of the at least two second features and a target second feature, and the target second feature is any one of the at least two second features;
• or the first target weight is a second parameter value comprising at least one preset constant;
• and
• performing fusion processing on the first feature and the first fused feature to obtain a second fused feature used to obtain a feature of the object.