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.

公开(公告)号：US20230206595A1

公开(公告)日：2023-06-29

申请号：US18085264

申请日：2022-12-20

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Fuqiang Liu ,  Zhongqiang Cai ,  Yu Guo ,  Yan Chen ,  Ji Wan ,  Jun Wang ,  Liang Wang ,  Huimin Ma

IPC: G06V10/75 ,  G06V10/774 ,  G06V20/58 ,  G06V20/64

CPC classification number: G06V10/753 ,  G06V10/774 ,  G06V20/58 ,  G06V20/647 ,  G06V2201/07

Abstract: A three-dimensional data augmentation method includes that an original two-dimensional image and truth value annotation data matching the original two-dimensional image are acquired, that the original two-dimensional image and two-dimensional truth value annotation data are transformed according to a target transformation element to obtain a transformed two-dimensional image and transformed two-dimensional truth value annotation data, that an original intrinsic matrix is transformed according to the target transformation element to obtain a transformed intrinsic matrix, that a two-dimensional projection is performed on three-dimensional truth value annotation data according to the transformed intrinsic matrix to obtain projected truth value annotation data, and that three-dimensional augmentation image data is generated according to the transformed two-dimensional image, the transformed two-dimensional truth value annotation data, and the projected truth value annotation data.