公开(公告)号：US20230215148A1

公开(公告)日：2023-07-06

申请号：US18183590

申请日：2023-03-14

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

Inventor： Shuilong DONG ,  Sensen HE ,  Shengyu WEI ,  Cheng CUI ,  Yuning DU ,  Tingquan GAO ,  Shao ZENG ,  Ying ZHOU ,  Xueying LYU ,  Yi LIU ,  Qiao ZHAO ,  Qiwen LIU ,  Ran BI ,  Xiaoguang HU ,  Dianhai YU ,  Yanjun MA

IPC: G06V10/774 ,  G06V10/40 ,  G06V10/74 ,  G06V10/764 ,  G06V10/776 ,  G06V10/778

CPC classification number: G06V10/774 ,  G06V10/40 ,  G06V10/761 ,  G06V10/764 ,  G06V10/776 ,  G06V10/7784

Abstract: The present disclosure provides a method for training a feature extraction model, a method for classifying an image and related apparatuses, and relates to the field of artificial intelligence technology such as deep learning and image recognition. The scheme comprises: extracting an image feature of each sample image in a sample image set using a basic feature extraction module of an initial feature extraction model, to obtain an initial feature vector set; performing normalization processing on each initial feature vector in the initial feature vector set using a normalization processing module of the initial feature extraction model, to obtain each normalized feature vector; and guiding training for the initial feature extraction model through a preset high discriminative loss function, to obtain a target feature extraction model as a training result.

公开(公告)号：US20230085732A1

公开(公告)日：2023-03-23

申请号：US18058543

申请日：2022-11-23

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

Inventor： Yuying HAO ,  Yi LIU ,  Zewu WU ,  Baohua LAI ,  Zeyu CHEN ,  Dianhai YU ,  Yanjun MA ,  Zhiliang YU ,  Xueying LV

IPC: G06T7/11

Abstract: The present disclosure provides an image processing method and apparatus, and relates to the field of image processing, and in particular to the field of image annotation. An implementation is: obtaining an image to be processed including a target region to be annotated; in response to a first click on the target region, performing a first operation to expand a predicted region for the target region based on a click position of the first click; in response to a second click in a position where the predicted region exceeds the target region, performing a second operation to reduce the predicted region based on a click position of the second click; and in response to determining that a difference between the predicted region and the target region meets a preset condition, obtaining an outline of the predicted region to annotate the target region.