Type prediction method, apparatus and electronic device for recognizing an object in an image

One or more computer readable media storing executable instructions that, when executed by one or more processors, cause the one or more processors to perform acts comprising:

• processing an image using a full image recognition technique to obtain a first type prediction result of an object in the image;
• processing a subject area of the image using a feature recognition technique to obtain a second type prediction result of the object in the subject area;
• determining whether the first type prediction result matches the second type prediction result;
• upon determining that the first type prediction result matches the second type prediction result, determining a type of the object in the image to be the first type prediction result or the second type prediction result;
• and
• upon determining that that the first type prediction result does not match the second type prediction result:
• processing the subject area of the image using the full image recognition technique associated,
• obtaining a third type of prediction result of the object in the subject area, and
• determining the type of the object of the image to be processed to be the third type of prediction result or the second type prediction result.

An apparatus comprising:

• one or more processors;
• and
• memory coupled to the one or more processors, the memory storing executable modules by the one or more processors, that when executed by the one or more) processors, perform corresponding associated operations, the modules including:
• a full image feature acquisition module configured to process an image using a full image recognition technique to obtain full image feature data of the image;
• a main feature processing module configured to process a subject area of the image using a feature recognition technique to obtain subject feature data of the subject area;
• a fusion processing module configured to combine the full image feature data and the subject feature data using a predetermined method to obtain combined feature data;
• and
• a classification processing module configured to recognize an object in the image using the combined feature data and to determine a type of the object in the image including:
• upon determining that the first type prediction result matches the second type prediction result, determining a type of the object in the image to be either the first type prediction result or the second type prediction result;
• and
• upon determining that that the first type prediction result does not match the second type prediction result:
• processing the subject area of the image using the full image recognition technique associated,
• obtaining a third type of prediction result of the object in the subject area, and
• determining the type of the object of the image to be processed to be the third type of prediction result or the second type prediction result.