SYSTEM AND METHOD FOR A VISUAL RECOGNITION AND/OR DETECTION OF A POTENTIALLY UNBOUNDED SET OF CATEGORIES WITH LIMITED EXAMPLES PER CATEGORY AND RESTRICTED QUERY SCOPE

摘要

Embodiments may provide visual recognition techniques that provide improved recognition accuracy and reduced use of computing resources in cases where only a small set of examples is used to train an unlimited number of recognized categories. For example, in an embodiment, a computer-implemented method of visual recognition may comprise generating a plurality of personal embedding models, each personal embedding model including categories relating to a person, and object, or a subject, wherein at least some of the personal embedding models include at least some different categories, training the plurality of personal embedding models using image training data having a limited number of examples of each category, wherein the examples of each category are used to train more than one category in more than one of the personal embedding models, recognizing images from image data using the plurality of personal embedding models, and outputting information relating to the recognized images.