object query embeddings

Object query embeddings (OQE) is a technique used in computer vision and natural language processing (NLP) to enable communication between the two domains. OQE involves generating embeddings, or numerical representations, of both images and natural language queries, and then comparing them to retrieve relevant information.

In the context of image retrieval, OQE can be used to match a natural language query to an image in a database. For example, a user might input the query "red car on the street" and the system would retrieve images that match that description based on the embeddings generated for both the query and the images in the database.

OQE can also be used in tasks such as image captioning, where a neural network generates a description of an image based on the embeddings of the image and a prompt given in natural language. OQE allows for more accurate and efficient communication between the two domains, enabling more complex and sophisticated applications.