公开(公告)号：US20250005946A1

公开(公告)日：2025-01-02

申请号：US18292942

申请日：2022-11-16

Applicant: BOE Technology Group Co., Ltd.

Inventor： Ruijiao SHI

IPC: G06V30/19 ,  G06V10/82 ,  G06V30/18 ,  G06V30/22 ,  G06V30/244 ,  G06V30/26

Abstract: A handwriting recognition method including: determining an input text image according to a written text trace to be recognized; inputting the input text image into a handwriting recognition model to obtain prediction results of different spatial positions in the input text image. The handwriting recognition model includes an image feature extraction layer, a full connection layer and a Softmax layer, the image feature extraction layer is used for extracting a feature map of the input text image, the full connection layer is used for adjusting the number of the channels of the feature map to the number of characters supported by the handwriting recognition model, and the Softmax layer is used for obtaining the prediction probability values of the written text at different spatial positions; performing a multi-neighborhood merging on the prediction results of different spatial positions to obtain a recognition result.

公开(公告)号：US20240355095A1

公开(公告)日：2024-10-24

申请号：US18291391

申请日：2023-02-24

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Xiaojun TANG ,  Rui ZHENG ,  Ruijiao SHI

IPC: G06V10/774 ,  G06V10/40 ,  G06V10/764 ,  G06V10/77 ,  G06V10/776 ,  G06V10/778 ,  G06V10/80 ,  G06V10/82 ,  G06V20/70

CPC classification number: G06V10/774 ,  G06V10/40 ,  G06V10/764 ,  G06V10/7715 ,  G06V10/776 ,  G06V10/778 ,  G06V10/806 ,  G06V10/82 ,  G06V20/70

Abstract: An object detection method includes: acquiring an image to be detected; and processing the image to be detected by using an object detection model to obtain an object detection result corresponding to a target object to be detected in the image to be detected. The object detection model includes a feature extraction network and an object detection network. The feature extraction network is used to extract features of the image to be detected to obtain image features related to multiple classes of tar-get objects, and the object detection network is used to process the image features to obtain the object detection result. The object detection network includes a class channel layer, multiple object channel layers and multiple box channel layers.