公开(公告)号：US20230281981A1

公开(公告)日：2023-09-07

申请号：US18315866

申请日：2023-05-11

Applicant: Huawei Technologies Co., Ltd.

Inventor： Xin DING ,  Deepak SRIDHAR ,  Juwei LU ,  Sidharth SINGLA ,  Peng DAI ,  Xiaofei WU

IPC: G06V10/82 ,  G06V10/776

CPC classification number: G06V10/82 ,  G06V10/776

Abstract: Method and devices for training a keypoint estimation network are described. In each training iteration, synthetic images are generated by a generator, each synthetic image being assigned respective assigned keypoints by the generator. Using a prior-iteration of the keypoint estimation network, a set of predicted keypoints is obtained for each synthetic image. Based on an error score between the predicted keypoints and the assigned keypoints, poor quality synthetic images are discarded. The remaining synthetic images, together with real world images, are used to train an updated keypoint estimation network. The performance of the updated keypoint estimation network is validated, and the training iterations are performed until a convergence criteria is satisfied.