公开(公告)号：US20220374678A1

公开(公告)日：2022-11-24

申请号：US17817449

申请日：2022-08-04

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Teng Xi ,  Can Cao ,  Gang Zhang

IPC: G06N3/04

Abstract: The disclosure provides a method for determining a pre-training model, an electronic device and a storage medium, relates to a technical field of computer vision and deep learning, and can be applied to scenes such as image processing and image recognition. The method includes: obtaining a plurality of candidate models; obtaining a structural code of each candidate model by performing structural coding according to model structures of the plurality of candidate models; obtaining a frequency domain code of each candidate model by mapping the structural code of each candidate model using a trained encoder; predicting a model performance parameter of each candidate model according to the frequency domain code of each candidate model; and determining a target model from the plurality of candidate models as a pre-training model according to the model performance parameter of each candidate model.