Method and device with object classification

A processor implemented method, comprising:

• generating a prediction consistency value that indicates a consistency of prediction of an object in an input image with respect to class prediction values for the object in an input image from classification models to which the input image is input;
• identifying a class type corresponding to the object based on the prediction consistency value;
• and
• identifying a class of the object using a class prediction model corresponding to the identified class type.

A computing device, comprising:

• one or more processors configured to execute instructions;
• and
• a memory storing instructions, wherein execution of the instructions by the one or more processors configure the one or more processors to:
• generate a prediction consistency value that indicates a consistency of prediction of an object in an input image with respect to class prediction values for the object in an input image from classification models to which the input image is input;
• and
• identify a class of the object, including:
• in response to a class type being determined, based on the prediction consistency value, of the object being determined to correspond to a majority class, identify a class of the object based on a corresponding class prediction value output for the object from a majority class prediction model;
• and
• in response to the class type of the object being determined to correspond to a minority class, identify the class of the object based on another corresponding class prediction value output for the object from a minority class prediction model.