CPC G06F 18/2185 (2023.01) [G06F 18/23211 (2023.01); G06F 18/2431 (2023.01); G06N 5/04 (2013.01)] | 14 Claims |
1. An image analysis method, comprising:
receiving a target image for processing by an image analysis model composed of at least one expert generated by learning a training image;
analyzing the target image based on an output value from the at least one expert to generate an analysis result;
determining validity of the analysis result for the target image based on a probability of an input target image belonging to an input category of the at least one expert by at least:
obtaining a likelihood of an input and a class with respect to each of the at least one expert;
obtaining a prior probability of each of the at least one expert; and
obtaining a probability of the input target image belonging to the input category of the at least one expert based on the obtained likelihood and the obtained prior probability; and
responsive to determining that the analysis result for the target image is not valid, classifying the target image into a new category so that a new expert for the new category is trained using the target image.
|