公开(公告)号：US20220392243A1

公开(公告)日：2022-12-08

申请号：US17890629

申请日：2022-08-18

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

Inventor： Shanshan LIU ,  Meina QIAO ,  Liang WU ,  Pengyuan LYU ,  Sen FAN ,  Chengquan ZHANG ,  Kun YAO

IPC: G06V30/19 ,  G06T7/70 ,  G06T7/194

Abstract: A method for training a text classification model and an electronic device are provided. The method may include: acquiring a set of to-be-trained images, the set of to-be-trained images including at least one sample image; determining predicted position information and predicted attribute information of each text line in each sample image based on each sample image; and training to obtain the text classification model, based on the annotation position information and the annotation attribute information of each text line in each sample image, and the predicted position information and the predicted attribute information of each text line in each sample image, and the text classification model is used to detect attribute information of each text line in an to-be-recognized image.

公开(公告)号：US20230010031A1

公开(公告)日：2023-01-12

申请号：US17946464

申请日：2022-09-16

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

Inventor： Pengyuan LYU ,  Sen FAN ,  Xiaoyan WANG ,  Yuechen YU ,  Chengquan ZHANG ,  Kun YAO ,  Junyu HAN

IPC: G06V10/77 ,  G06V20/62 ,  G06V10/74

Abstract: A method for recognizing a text, an electronic device and a storage medium. An implementation of the method comprises: obtaining a multi-dimensional first feature map of a to-be-recognized image; performing, based on feature values in the first feature map, feature enhancement processing on each feature value in the first feature map; and performing a text recognition on the to-be-recognized image based on the first feature map after the enhancement processing.