公开(公告)号：US20240281609A1

公开(公告)日：2024-08-22

申请号：US18041207

申请日：2022-05-16

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

Inventor： Pengyuan LV ,  Jingquan LI ,  Chengquan ZHANG ,  Kun YAO ,  Jingtuo LIU ,  Junyu HAN

IPC: G06F40/30 ,  G06V30/12

CPC classification number: G06F40/30 ,  G06V30/12

Abstract: The present application provides a method of training a text recognition model. The method includes: inputting a first sample image into the visual feature extraction sub-model to obtain a first visual feature and a first predicted text, the first sample image contains a text and a tag indicating a first actual text; obtaining, by using the semantic feature extraction sub-model, a first semantic feature based on the first predicted text; obtaining, by using the sequence sub-model, a second predicted text based on the first visual feature and the first semantic feature; and training the text recognition model based on the first predicted text, the second predicted text and the first actual text. The present disclosure further provides a method of recognizing a text, an electronic device, and a storage medium.