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公开(公告)号：US20210312240A1
公开(公告)日：2021-10-07
申请号：US17348285
申请日：2021-06-15
Inventor： Xiaodi WANG , Shumin HAN , Yuan FENG , Ying XIN , Bin ZHANG , Shufei LIN , Pengcheng YUAN , Xiang LONG , Yan PENG , Honghui ZHENG
Abstract: A header model for instance segmentation includes a target box branch having a first branch and a second branch, where the first branch is configured to process an inputted first feature map to obtain class information and confidence of a target box, and the second branch is configured to process the first feature map to obtain location information of the target box. The header model also includes a mask branch configured to process an inputted second feature map to obtain mask information, wherein the second feature map is a feature map outputted by an ROI extraction module, and the first feature map is a feature map resulting from a pooling performed on the second feature map.
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公开(公告)号：US20210350173A1
公开(公告)日：2021-11-11
申请号：US17379428
申请日：2021-07-19
Inventor： Xiang LONG , Yan PENG , Shufei LIN , Ying XIN , Bin ZHANG , Pengcheng YUAN , Xiaodi WANG , Yuan FENG , Shumin HAN
Abstract: Provided are a method and apparatus for evaluating image relative definition, a device and a medium, relating to technologies such as computer vision, deep learning and intelligent medical. A specific implementation solution is: extracting a multi-scale feature of each image in an image set, where the multi-scale feature is used for representing definition features of objects having different sizes in an image; and scoring relative definition of each image in the image set according to the multi-scale feature by using a relative definition scoring model pre-trained, where the purpose for training the relative definition scoring model is to learn a feature related to image definition in the multi-scale feature.
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公开(公告)号：US20210216520A1
公开(公告)日：2021-07-15
申请号：US17038276
申请日：2020-09-30
Inventor： Yang WANG , Xunchao SONG , Pengcheng YUAN , Haiping ZHANG , Yifei WANG
IPC: G06F16/22 , G06F16/2455
Abstract: A method for storing a determinant text, an electronic device, and a computer-readable storage medium is disclosed. The method includes: obtaining a determinant text that is to be stored, the determinant text including a plurality of fields; obtaining valid fields from the plurality of fields; querying a field type table according to the valid fields to generate a data description field of the determinant text; determining a value storage field of the determinant text according to contents of the plurality of fields and the field type table; and storing the data description field and the value storage field to store the determinant text.
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公开(公告)号：US20220147822A1
公开(公告)日：2022-05-12
申请号：US17459066
申请日：2021-08-27
Inventor： Ying XIN , Yuan FENG , Guanzhong WANG , Pengcheng YUAN , Bin ZHANG , Xiaodi WANG , Xiang LONG , Yan PENG , Honghui ZHENG , Shumin HAN
IPC: G06N3/08 , G06N3/04 , G06V10/82 , G06V10/766 , G06V10/77
Abstract: Provided are a training method and apparatus for a target detection model, a device and a storage medium. The training method is described below. A feature map of a sample image is processed through a classification network of an initial model and a heat map and a classification prediction result of the feature map are obtained, a classification loss value is determined according to the classification prediction result and classification supervision data of the sample image, and a category probability of pixels in the feature map is determined according to the heat map of the feature map and a probability distribution map of the feature map is obtained; the feature map is processed through a regression network of the initial model and a regression prediction result is obtained, and a regression loss value is determined.
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5.发明申请公开(公告)号：US20210390682A1
公开(公告)日：2021-12-16
申请号：US17116597
申请日：2020-12-09
Inventor： Shufei LIN , Jianfeng ZHU , Pengcheng YUAN , Bin ZHANG , Shumin HAN , Yingbo XU , Yuan FENG , Ying XIN , Xiaodi WANG , Jingwei LIU , Shilei WEN , Hongwu ZHANG , Errui DING
Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.
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Patent Agency Ranking
公开(公告)号：US20190179748A1
公开(公告)日：2019-06-13
申请号：US16134423
申请日：2018-09-18
Inventor： Yang WANG , Xunchao SONG , Pengcheng YUAN , Xiaobo LIU , Xi CHEN
IPC: G06F12/06
Abstract: A method and an apparatus for storing data are provided. The method includes: acquiring target data, the target data including first key-value pair data, object data or array data, the key-value pair data including key data and value data, the object data including second key-value pair data, and the array data including object data; determining an object data number of the object data included in the target data, an array data number of the array data included in the target data, a first key-value pair data number of the first key-value pair data included in the target data, and a second key-value pair data number of the second key-value pair data included in the target data; determining a storage space based on the determined numbers; and storing the target data into the storage space.
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7.发明申请公开(公告)号：US20210319335A1
公开(公告)日：2021-10-14
申请号：US17037612
申请日：2020-09-29
Inventor： Wenbin JIANG , Huanyu ZHOU , Meng TIAN , Ying LI , Xinwei FENG , Xunchao SONG , Pengcheng YUAN , Yajuan LYU , Yong ZHU
Abstract: The present disclosure discloses a question analysis method, a device, a knowledge base question answering system and an electronic equipment. The method includes: analyzing a question to obtain N linearized sequences, N being an integer greater than 1; converting the N linearized sequences into N network topology maps; separately calculating a semantic matching degree of each of the N network topology maps to the question; and selecting a network topology map having a highest semantic matching degree to the question as a query graph of the question from the N network topology maps. According to the technology of the present disclosure, the query graph of the question can be obtained more accurately, and the accuracy of the question to the query graph is improved, thereby improving the accuracy of question analysis.
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8.发明申请公开(公告)号：US20210216722A1
公开(公告)日：2021-07-15
申请号：US17149226
申请日：2021-01-14
Inventor： Songtai DAI , Xinwei FENG , Miao YU , Huanyu ZHOU , Xunchao SONG , Pengcheng YUAN
IPC: G06F40/30 , G06F40/295 , G06F16/35
Abstract: A method for processing a sematic description of a text entity is proposed. The method includes: acquiring a plurality of target texts containing a main entity, and extracting related entities describing the main entity from each target text; acquiring a sub-relation vector of a pair of the main entity and each related entity in each target text; calculating a similarity distance of the main entity between different target texts based on the sub-relation vector; and determining a semantic similarity of the main entity descripted in different target texts based on the similarity distance.
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9.发明申请公开(公告)号：US20210011921A1
公开(公告)日：2021-01-14
申请号：US16812062
申请日：2020-03-06
Inventor： Songtai DAI , Xinwei FENG , Miao YU , Huanyu ZHOU , Xunchao SONG , Pengcheng YUAN
IPC: G06F16/2457 , G06N20/00 , G09B7/02
Abstract: A method for obtaining an answer to a question is provided. The method may include: acquiring a question; determining at least a part of articles in a preset article database as candidate articles, and determining first scores of the candidate articles respectively, the first score of any of the candidate articles representing a matching degree between the candidate article and the question; determining at least a part of texts in each of the candidate articles as candidate texts, and determining second scores of the candidate texts respectively, the second score of any of the candidate texts representing a matching degree between the candidate text and the question; and determining at least a part of the candidate texts as the answer based on a score set of each of the candidate texts, the score set of any of the candidate texts including the second score and the first score.
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公开(公告)号：US20190205439A1
公开(公告)日：2019-07-04
申请号：US16161968
申请日：2018-10-16
Inventor： Yang WANG , Xi CHEN , Pengcheng YUAN , Xunchao SONG , Xiaobo LIU
CPC classification number: G06F16/2272 , G06F3/0604 , G06F3/0644 , G06F3/0674 , G06F16/284
Abstract: The present disclosure provides a method for updating a relational index, a storage medium and an electronic device. The method includes: reading out relational data of an entity to be operated from a disk to a memory; performing an updating operation on the relational data in the memory; storing the updated relational data into a memory relational index; writing content data of the entity to be operated into the disk; and synchronizing periodically the memory relational index to a disk relational index.
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