公开(公告)号：US20240344832A1

公开(公告)日：2024-10-17

申请号：US18747669

申请日：2024-06-19

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

Inventor： Deguo XIA ,  Xiyan LIU ,  Jizhou HUANG

IPC: G01C21/32 ,  G01C21/00 ,  G06F16/29

CPC classification number: G01C21/32 ,  G01C21/3804 ,  G06F16/29

Abstract: A training method for a map-generation large model is provided, including: obtaining a training sample set, each training sample in the training sample set including a road top-view sample, a first vectorized point set and a first category of a first road element, and a first mask of the road top-view sample; inputting the road top-view sample into an initial map-generation large model, and correspondingly outputting a second vectorized point set and a second category of the second road element, and a second mask of the road top-view sample; determining a model loss according to a matching result between the second and first road element, the first vectorized point set, the first category, the first mask, the second vectorized point set, the second category and the second mask, and adjusting a parameter of the initial map-generation large model according to the model loss to obtain a map-generation large model.

公开(公告)号：US20230102804A1

公开(公告)日：2023-03-30

申请号：US18077026

申请日：2022-12-07

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

Inventor： Xiyan LIU ,  Junjie CAI ,  Kai ZHONG ,  Jianzhong YANG ,  Deguo XIA ,  Tongbin ZHANG ,  Zhen LU

IPC: G06V10/24 ,  G06V30/16 ,  G06V10/774 ,  G06V10/77

Abstract: A method of rectifying a text image, a training method, an electronic device, and a medium, which relate to a field of an artificial intelligence technology, in particular to fields of computer vision, deep learning technology, intelligent transportation and high-precision maps. An exemplary implementation includes: performing, based on a gating strategy, a plurality of first layer-wise processing on a text image to be rectified, so as to obtain respective feature maps of a plurality of layer levels, wherein each of the feature maps includes a text structural feature related to the text image to be rectified, and the gating strategy is configured to increase an attention to the text structural feature; and performing a plurality of second layer-wise processing on the respective feature maps of the plurality of layer levels, so as to obtain a rectified text image corresponding to the text image to be rectified.