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公开(公告)号:US20210118137A1
公开(公告)日:2021-04-22
申请号:US17253216
申请日:2020-04-20
Inventor: Yongming Shi , Ge Ou , Qiong Wu , Chun Wang
Abstract: The present disclosure provides a method and apparatus of labeling a target in an image, and a computer recording medium. The method includes: acquiring a first neural network, the first neural network includes a multi-layer convolutional neural network and a fully connected layer, wherein each layer of the multi-layer convolutional neural network includes a convolutional layer, an activation function layer and a down-sampling layer arranged successively; processing the image by using the multi-layer convolutional neural network of the first neural network acquired so as to obtain a target position mask for the image; and labeling the target in the image based on the target position mask.
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2.
公开(公告)号:US20240169214A1
公开(公告)日:2024-05-23
申请号:US17772736
申请日:2021-07-28
Inventor: Qiong Wu , Boran Jiang , Ge Ou , Zhenzhong Zhang , Shuqi Wei , Mengjun Hou , Jijing Huang
IPC: G06N5/02 , G06Q30/0601
CPC classification number: G06N5/02 , G06Q30/0631
Abstract: A knowledge graph updating method, an apparatus, an electronic device, a storage medium and a program thereof, relates to the field of computer technology. The method includes: receiving an updating request of a technical knowledge graph, the updating request includes: a technical-event node of the technical knowledge graph; extracting historical event information corresponding to the technical-event node from the technical knowledge graph; and updating event information of the technical-event node after a current time by using a target-technical-event prediction model; wherein, the target-technical-event prediction model is obtained by training a technical-event prediction model with the historical event information.
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公开(公告)号:US11735316B2
公开(公告)日:2023-08-22
申请号:US17253216
申请日:2020-04-20
Inventor: Yongming Shi , Ge Ou , Qiong Wu , Chun Wang
IPC: G06T7/00 , G16H30/40 , G06T7/70 , G06N3/04 , G06N3/08 , G06F18/214 , G06F18/2431 , G06V10/764 , G06V10/82 , G06V10/44
CPC classification number: G16H30/40 , G06F18/214 , G06F18/2431 , G06N3/04 , G06N3/08 , G06T7/0012 , G06T7/70 , G06V10/454 , G06V10/764 , G06V10/82 , G06T2207/20081 , G06T2207/20084 , G06T2207/30096
Abstract: The present disclosure provides a method and apparatus of labeling a target in an image, and a computer recording medium. The method includes: acquiring a first neural network, the first neural network includes a multi-layer convolutional neural network and a fully connected layer, wherein each layer of the multi-layer convolutional neural network includes a convolutional layer, an activation function layer and a down-sampling layer arranged successively; processing the image by using the multi-layer convolutional neural network of the first neural network acquired so as to obtain a target position mask for the image; and labeling the target in the image based on the target position mask.
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公开(公告)号:US12039766B2
公开(公告)日:2024-07-16
申请号:US17754158
申请日:2021-04-15
Applicant: BOE TECHNOLOGY GROUP CO., LTD. , PEKING UNIVERSITY
Inventor: Jie Feng , Yadong Mu , Shuai Wang , Guiyu Tian , Yiming Bai , Xiangye Wei , Ge Ou , Qiong Wu
IPC: G06V10/26 , G06V10/44 , G06V10/764 , G06V10/774 , G06V10/82 , G06V10/84 , G06V20/40 , G06V30/19 , G06V30/262
CPC classification number: G06V10/26 , G06V10/44 , G06V10/764 , G06V10/774 , G06V10/82 , G06V10/84 , G06V20/41 , G06V30/19147 , G06V30/274
Abstract: The present disclosure provides an image processing method, apparatus, device, and computer-readable storage medium. The method includes: obtaining an image dataset, the image dataset including an image and an accompanying text related to an unseen class in the image; and generating a probability and/or distribution of the unseen class using an unseen class obtaining model, the probability and/or distribution of the unseen class including a probability that each pixel in the image is from the unseen class, a probability that the unseen class is present in the image, and a regional probability after the image is subdivided into a plurality of regions.
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公开(公告)号:US12014477B2
公开(公告)日:2024-06-18
申请号:US17501874
申请日:2021-10-14
Applicant: BOE Technology Group Co., Ltd.
Inventor: Dawei Tang , Jijing Huang , Qiong Wu , Ge Ou , Chuqian Zhong , Zhiliang Wang
IPC: G06T5/77
CPC classification number: G06T5/77 , G06T2207/10004 , G06T2207/20192
Abstract: An image processing method and device, an image detecting method and system, and a storage medium are provided. The image processing method comprises: acquiring a target image; counting pixels of the target image to obtain a count value; adding compensation data at a peripheral position of an edge pixel of the target image according to the count value, to obtain pixel data of the compensated target image.
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公开(公告)号:US12001746B2
公开(公告)日:2024-06-04
申请号:US17757305
申请日:2021-05-25
Applicant: BOE TECHNOLOGY GROUP CO., LTD. , PEKING UNIVERSITY
Inventor: Shuai Wang , Yadong Mu , Jie Feng , Yiming Bai , Xiangye Wei , Qiong Wu , Ge Ou , Nan Zhuang , Guoqiang Gong
IPC: G06F3/14 , G06T3/4038 , G06T5/00 , G06T7/194 , G06T7/70 , G06V10/25 , G06V10/764 , G06V40/10 , G09G3/00
CPC classification number: G06F3/14 , G06T3/4038 , G06T5/005 , G06T7/194 , G06T7/70 , G06V10/25 , G06V10/764 , G06V40/103 , G09G3/035 , G06V2201/07 , G09G2380/02
Abstract: An electronic apparatus and a method for displaying an image on a display device are disclosed. The electronic apparatus includes a display device; an image acquisition device configured to acquire a surrounding image of the display device; and a processor configured to: determine a background image of the display device according to the surrounding image; acquire a target range and a target object in the background image; determine a target image according to the background image, the target range and the target object; and control the display device to display the target image, wherein the target image excludes the target object.
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7.
公开(公告)号:US11887303B2
公开(公告)日:2024-01-30
申请号:US17423439
申请日:2020-08-17
Inventor: Yongming Shi , Qiong Wu , Ge Ou , Chun Wang
CPC classification number: G06T7/0012 , G06V10/82 , G16H30/40 , G06T2207/20081 , G06T2207/20084 , G06T2207/30096
Abstract: An image processing model generation method includes: inputting at least one training sample lesion image into an initial image processing model, the initial image processing model including a classification layer and a marking layer; calling the classification layer; calling the marking layer; obtaining a loss value of the at least one training sample lesion image in the initial image processing model; determining whether the loss value is within a preset range; if not, updating parameters of the initial image processing model, an image processing model with updated parameters being used as an initial image processing model in next training; and repeating above steps until the loss value is within the preset range.
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