Patent ID: 11929871
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G  H  Y | IPC G  H

Claim 0:
1. A method for generating a backbone network, comprising:
acquiring a set of training images, a set of inference images, and a set of initial backbone networks;
training and inferring, for each initial backbone network in the set of initial backbone networks, using the set of training images and the set of inference images to obtain an inference time and an inference accuracy of a trained backbone network in an inference process, wherein training and inferring, for each initial backbone network in the set of initial backbone networks, comprises:
training an initial backbone network by using the set of training images to obtain the trained backbone network, and
converting the trained backbone network into an inference network, inferring the set of inference images by using the inference network, and obtaining the inference time and the inference accuracy of the inference network in the inference process, wherein the inference time is a time used for inferring the set of inference images by using the inference network, and the inference accuracy is an accuracy of an inference result of the inference network; and

determining a basic backbone network based on the inference time and the inference accuracy of the trained backbone network in the inference process, wherein determining the basic backbone network comprises:
determining, based on the inference accuracy and the inference time of each inference network converted from the set of initial backbone networks, the basic backbone network from the set of initial backbone networks; and
obtaining a target backbone network based on the basic backbone network and a preset target network.