公开(公告)号：US20220139061A1

公开(公告)日：2022-05-05

申请号：US17576198

申请日：2022-01-14

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

Inventor： Jian WANG ,  Zipeng LU ,  Hao SUN ,  Zhiyong JIN ,  Errui DING

IPC: G06V10/25 ,  G06V10/77 ,  G06V10/82 ,  G06V40/10 ,  G06N3/08 ,  G06N3/04

Abstract: Provided are a training method and apparatus for a human keypoint positioning model, a human keypoint positioning method and apparatus, a device, a medium and a program product. The training method includes determining an initial positioned point of each of keypoints; acquiring N candidate points of each keypoint according to a position of the initial positioned point; extracting a first feature image, and forming N sets of graph structure feature data according to the first feature image and the N candidate points; performing graph convolution on the N sets of graph structure feature data to obtain N sets of offsets; correcting initial positioned points of all the keypoints to obtain N sets of current positioning results; and calculating each set of loss values according to labeled true values of all the keypoints and each set of current positioning results, and performing supervised training on the positioning model.

公开(公告)号：US20220392101A1

公开(公告)日：2022-12-08

申请号：US17887740

申请日：2022-08-15

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

Inventor： Zipeng LU ,  Jian WANG ,  Hao SUN ,  Errui DING

IPC: G06T7/70 ,  G06T7/62 ,  G06V10/25 ,  G06V10/74 ,  G06V10/774

Abstract: A training method, a method of detecting a target image, an electronic device and a medium, which relate to the field of artificial intelligence technology, and in particular to fields of computer vision and deep learning. The method can include: generating an expanded sample image set for a target scene by using a mask image set and an initial sample image set, wherein the mask image set is acquired by parsing a predetermined image set, a target object in the target scene is interfered by another object or the target object in the target scene is cut off, and an image in the predetermined image set includes the target object in the target scene or the another object; and training, by using the initial sample image set and the expanded sample image set, a detection model for detecting the target object.