DETERMINING OUTLIER IMAGES BASED ON CATEGORY-BASED IMAGE RELEVANCE USING EMBEDDING NEURAL NETWORKS

原文（中文）

This disclosure describes a framework for determining the category-based image relevance of digital images associated with entities or topics. Specifically, this disclosure describes an image relevance system that determines outlier images within a set of images associated with an entity or topic by correlating semantic content with visual content. For example, the image relevance system ensures that only images relevant to the entity or topic are provided in response to a user query about the entity or topic. The image relevance system can also filter out images from an image set that do not correspond to user input in a search query before providing the image set. Furthermore, the image relevance system can prevent irrelevant images from being added to an image set associated with an entity or topic.