Patent ID: 11928854
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. The method of claim 2, wherein processing: (i) the set of object embeddings, and (ii) the set of query embeddings, using a classification subnetwork of the object detection neural network to generate, for each object embedding, a respective classification score distribution over the set of query embeddings, comprises:
processing each object embedding using one or more neural network layers of the classification neural network to generate a corresponding classification embedding; and
generating, for each object embedding, the classification score distribution over the set of query embeddings using: (i) the classification embedding corresponding to the object embedding, and (ii) the query embeddings, comprising:
generating a respective measure of similarity between the classification embedding and each query embedding, wherein the measure of similarity between the classification embedding and a query embedding defines a likelihood that the region of the image corresponding to the object embedding depicts an object that is included in the category represented by the query embedding.