公开(公告)号：US20230274527A1

公开(公告)日：2023-08-31

申请号：US18015301

申请日：2020-10-06

Applicant: Google LLC

Inventor： Huizhong Chen ,  Zhichao Lu ,  Jonathan Zwi Ben-Meshulam

IPC: G06V10/764 ,  G06V10/776

CPC classification number: G06V10/764 ,  G06V10/776

Abstract: Systems and methods of the present disclosure are directed to a computer-implemented method for training a machine-learned multi-class object classification model with partially labeled training data. The method can include obtaining image data depicting objects and ground truth data comprising a subset of object class annotations respectively associated with a subset of object classes of a plurality of object classes. The method can include processing the image data with the machine-learned multi-class object classification model to obtain object classification data. The method can include evaluating a loss function that evaluates a multi-class classification loss and adjusting one or more parameters of the multi-class object classification model based on the loss function.