公开(公告)号：US20250053824A1

公开(公告)日：2025-02-13

申请号：US18933204

申请日：2024-10-31

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

Inventor： Xiaofan Li ,  Ji Wan

IPC: G06N3/096

Abstract: Provided a method for training a multi-task fusion detection model includes: obtaining a single-task detection model of each detection task in a detection task set, and obtaining an initial multi-task fusion detection model to be trained based on each single-task detection model; obtaining a training sampling set of the initial multi-task fusion detection model by obtaining a single-task sampling data set of each detection task, in which the training sample set includes a single-task sample and a multi-task sample; and training the initial multi-task fusion detection model according to the single-task sample and/or the multi-task sample until the training is completed, to obtain a trained target multi-task fusion detection model.