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211.发明申请公开(公告)号：US20220279242A1
公开(公告)日：2022-09-01
申请号：US17748483
申请日：2022-05-19
Inventor： Yumin XU
IPC: H04N21/443 , G06F9/455 , H04L9/32
Abstract: The present disclosure provides a method and apparatus for processing information, and relates to the fields of cloud computing technology and other technologies. The method can include: allocating a virtualized instance based on a received information verification request; generating an initial video stream containing a virtualized input interface in the virtualized instance based on the information verification request, and sending the initial video stream to a client side to display the virtualized input interface at the client side; obtaining, in response to receiving operation event information being in the virtualized input interface and sent by the client side, an updated video stream based on the operation event information, and sending the updated video stream to the client side; and analyzing and verifying, in response to determining that an operation event corresponding to the operation event information is completed, the operation event information to obtain a verification result.
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公开(公告)号：US20220277575A1
公开(公告)日：2022-09-01
申请号：US17743687
申请日：2022-05-13
Inventor： Xia Zhou , Leyi Wang , Qiaoyi Li , Duohao Qin , Minghao Liu
IPC: G06V30/413 , G06V10/75
Abstract: A method and apparatus for detecting a table. The method includes: acquiring a to-be-processed image; inputting the to-be-processed image into a pre-trained deep learning model, and outputting a full table detection branch result, a column detection branch result and a header detection branch result through the deep learning model; where the full table detection branch result represents a detection result for a full table in the to-be-processed image, the column detection branch result represents a detection result for a column in the table in the to-be-processed image, and the header detection branch result represents a detection result for a header in the to-be-processed image; and obtaining a detection result of the table in the to-be-processed image, based on the full table detection branch result, the column detection branch result and the header detection branch result.
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公开(公告)号：US20220270382A1
公开(公告)日：2022-08-25
申请号：US17741780
申请日：2022-05-11
Inventor： Xiaoming MA
Abstract: The present application provides a method and an apparatus of training an image recognition model, a method and an apparatus of recognizing an image, and an electronic device, which relates to a field of an image processing technology, and in particular to artificial intelligence and computer vision technology. A specific implementation scheme of the present disclosure includes: determining a training sample set including a plurality of sample pictures and a text label for each sample picture; extracting an image feature of each sample picture and a semantic feature of each sample picture based on a feature extraction network of a basic image recognition model; and training the basic image recognition model based on the extracted image feature of each sample picture, the extracted semantic feature of each sample picture, the text label for each sample picture, a predetermined image classification loss function, and a predetermined semantic classification loss function.
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公开(公告)号：US20220269659A1
公开(公告)日：2022-08-25
申请号：US17663044
申请日：2022-05-12
Inventor： Yifei Wang , Yang Wang , Yu Wang
IPC: G06F16/215 , G06F16/901
Abstract: The disclosure provides a method for deduplicating entity nodes in a graph database. The method includes: obtaining a set of entity nodes to be deduplicated from the knowledge graph, in which the set includes a plurality of entity nodes; selecting an untraversed entity node from the set as a target entity node; determining a range located by a node identifier corresponding to the target entity node; determining the target entity node that has appeared in traversed entity nodes according to a deduplicating mode corresponding to the range; and deleting the target entity node from the set.
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公开(公告)号：US20220255724A1
公开(公告)日：2022-08-11
申请号：US17730988
申请日：2022-04-27
Inventor： Ji LIU , Qilong LI , Dejing DOU , Chongsheng ZHANG
IPC: H04L9/06 , G06V10/774 , G06V10/10
Abstract: The present disclosure provides a method and apparatus for determining an encryption mask, a method and apparatus for recognizing an image, a method and apparatus for training a model, a device, a storage medium and a computer program product. A specific implementation comprises: acquiring a test image set and an encryption mask set; superimposing an image in the test image set with a mask in the encryption mask set to obtain an encrypted image set; recognizing an image in the encrypted image set using a pre-trained encrypted image recognition model and recognizing the image in the encrypted image set using a pre-trained original image recognition model to obtain a first recognition result; and determining a target encryption mask from the encryption mask set based on the first recognition result.
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Patent Agency Ranking
公开(公告)号：US20220253575A1
公开(公告)日：2022-08-11
申请号：US17731254
申请日：2022-04-27
Inventor： Kun FANG , Runyao DUAN
Abstract: This disclosure provides a node grouping method and apparatus and an electronic device, and relates to the field of evolutionary computing in quantum computing. The method includes: obtaining a graph of to-be-grouped nodes, wherein the graph of to-be-grouped nodes includes M first nodes; constructing a QAOA (quantum approximate optimization algorithm) node circuit graph based on the graph of to-be-grouped nodes, the node circuit graph including K nodes which including the M first nodes; generating a quantum entangled state of the node circuit graph that includes target quantum states of the K nodes in the node circuit graph; performing a group measurement on each of the K nodes sequentially based on the target quantum states of the K nodes to obtain a target group measurement result of the M first nodes; determining a grouping output result of the M first nodes based on the target group measurement result.
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公开(公告)号：US20220247811A1
公开(公告)日：2022-08-04
申请号：US17721131
申请日：2022-04-14
Inventor： Fenghui Zhang , Feitong Wang , Lin Jiang , Aiyi Liang
IPC: H04L67/1008 , H04L67/1006 , H04L67/1014 , H04L45/42
Abstract: A system is provided that includes: a first load balancing device cluster, the first load balancing device cluster includes a first load balancing device pool and a second load balancing device pool; at least one first switch respectively coupled with each load balancing device in the first load balancing device pool via a routing protocol link; and at least one second switch respectively coupled with each load balancing device in the second load balancing device pool via a routing protocol link, the at least one first switch and the at least one second switch are configured to be able to be connected with the Internet; and one of the first load balancing device pool and the second load balancing device pool is configured as a standby load balancing device pool of the other.
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公开(公告)号：US20220244057A1
公开(公告)日：2022-08-04
申请号：US17726450
申请日：2022-04-21
Inventor： Xiangyang WANG , Huaifei XING
Abstract: The present disclosure provides a map data fusion method and apparatus, an electronic device, a medium and a program product. The method includes: acquiring first map data and second map data; based on a first feature descriptor set and a second feature descriptor set included in the first map data and the second map data respectively, determining a set of matching point pairs between a first set of three-dimensional coordinate points and a second set of three-dimensional coordinate points included in the first map data and the second map data respectively; determining a pose transformation matrix between the first map data and the second map data based on the set of matching point pairs; and fusing the first map data and the second map data into third map data based on the pose transformation matrix.
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219.发明申请公开(公告)号：US20220237529A1
公开(公告)日：2022-07-28
申请号：US17720638
申请日：2022-04-14
Inventor： Xin ZHANG
Abstract: A method for determining a status of a trajectory point is provided. The present disclosure relates to the field of artificial intelligence, and in particular to the field of intelligent transportation. An implementation is: obtaining a plurality of trajectory points based on trajectory data, where the trajectory data is obtained based on a positioning system; extracting a trajectory feature and a geographical environment feature of each of the plurality of trajectory points to obtain a plurality of feature vectors corresponding to the plurality of trajectory points; and determining a status of each trajectory point in the plurality of trajectory points based on the plurality of feature vectors.
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公开(公告)号：US20220237376A1
公开(公告)日：2022-07-28
申请号：US17718285
申请日：2022-04-11
Inventor： Yaqing Wang , Dejing Dou
IPC: G06F40/279 , G06F40/253 , G06F40/117 , G06N3/04
Abstract: A computer-implemented method for text classification is provided. The method for text classification includes obtaining an entity category set and a part-of-speech tag set associated with a text. The method further includes constructing a first isomorphic graph for the entity category set and a second isomorphic graph for the part-of-speech tag set. A node of the first isomorphic graph corresponds to an entity category in the entity category set, and a node of the second isomorphic graph corresponds to a part-of-speech tag in the part-of-speech tag set. The method further includes obtaining, based on the first isomorphic graph and the second isomorphic graph, a first text feature and a second text feature of the text through a graph neural network. The method further includes classifying the text based on a fused feature of the first text feature and the second text feature.
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