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431.发明公开公开(公告)号：US20230153387A1
公开(公告)日：2023-05-18
申请号：US18150964
申请日：2023-01-06
Inventor： Chao Li , Ying Xin , Yuan Feng , Bin Zhang , Yunhao Wang , Xiaodi Wang , Yi Gu , Xiang Long , Yan Peng , Honghui Zheng , Zhuang Jia , Shumin Han
IPC: G06F18/214 , G06V10/25
CPC classification number: G06F18/214 , G06V10/25
Abstract: A training method for a human body attribute detection model includes: acquiring positive sample sub-images and negative sample sub-images respectively corresponding to a plurality of human body attribute categories; determining a plurality of first annotation attributes respectively corresponding to the plurality of positive sample sub-images; and a plurality of second annotation attributes respectively corresponding to the plurality of negative sample sub-images; and training an artificial intelligence model according to the plurality of positive sample sub-images, the plurality of negative sample sub-images, the plurality of first annotation attributes and the plurality of second annotation attributes to obtain the human body attribute detection model, so that the human body attribute detection model obtained by training can effectively model fine-grained attributes of the human body.
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公开(公告)号：US11651164B2
公开(公告)日：2023-05-16
申请号：US17036609
申请日：2020-09-29
Inventor： Zhijie Liu , Qi Wang , Zhifan Feng , Zhou Fang , Chunguang Chai , Yong Zhu
IPC: G06F40/30 , G06F16/435 , G06F16/2458 , G06F40/253 , G06F40/279
CPC classification number: G06F40/30 , G06F16/2465 , G06F16/435 , G06F40/253 , G06F40/279 , G06F2216/03
Abstract: The present disclosure provides a method, a device, an equipment and a storage medium for mining a topic concept. The method includes: acquiring a plurality of candidate topic concepts based on a query; performing word segmentation on the plurality of candidate topic concepts and performing part-of-speech tagging on words obtained after performing the word segmentation, to obtain a part-of-speech sequence of each of the plurality of candidate topic concepts; and filtering the plurality of candidate topic concepts based on the part-of-speech sequence, to filter out a topic concept corresponding to a target part-of-speech sequence among the plurality of candidate topic concepts, in which a proportion of accurate topic concepts in the target part-of-speech sequence is lower than or equal to a first preset threshold, or a proportion of inaccurate topic concepts in the target part-of-speech sequence is higher than or equal to a second preset threshold.
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公开(公告)号：US20230142217A1
公开(公告)日：2023-05-11
申请号：US17896690
申请日：2022-08-26
Inventor： Huihui HE , Leyi WANG , Duohao QIN , Minghao LIU
IPC: G06F40/47 , G06F40/166 , G06F40/30 , G06F40/295 , G06F40/151
CPC classification number: G06F40/47 , G06F40/166 , G06F40/30 , G06F40/295 , G06F40/151
Abstract: The present disclosure provides a model training method and apparatus, an electronic device, and a storage medium, and relates to the field of artificial intelligence, in particular, to the field of natural language processing and deep learning. A specific implementation solution includes: constructing initial training corpora; performing data enhancement on the initial training corpora based on an algorithm contained in a target algorithm set to obtain target training corpora, wherein the target algorithm set is determined from multiple algorithm sets, and different algorithm sets are used for performing data enhancement on corpora with different granularity in the initial training corpora; and performing training on a language model based on the target training corpora to obtain a sequence labeling model, herein the language model is pre-trained based on text corpora.
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公开(公告)号：US20230140997A1
公开(公告)日：2023-05-11
申请号：US18089392
申请日：2022-12-27
Inventor： Ruiqing ZHANG , Xiyang WANG , Zhongjun HE , Zhi LI , Hua WU
IPC: G06F40/58
CPC classification number: G06F40/58
Abstract: A method and apparatus for selecting a sample corpus used to optimize a translation model, an electronic device, a computer readable storage medium, and a computer program product are provided. The method includes: after acquiring a first corpus, translating the first corpus by using a to-be-optimized translation model to acquire a second corpus with different types of languages, then translating the second corpus by using the to-be-optimized translation model to acquire a third corpus, then determining a difficulty level of the first corpus based on a similarity between the first corpus and the third corpus, and finally determining the first corpus as a sample corpus used to perform optimization training on the to-be-optimized translation model in response to the difficulty level satisfying requirements of a difficulty level threshold.
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公开(公告)号：US20230139243A1
公开(公告)日：2023-05-04
申请号：US17941220
申请日：2022-09-09
IPC: G06F16/538 , G06F16/245 , G06F16/583 , G06F16/587
Abstract: Provided are a method and apparatus for processing map information, a device, and a storage medium which relate to the field of computer technology and, in particular, to the fields of intelligent transportation and computer vision technology. The specific implementation includes that an object in an image for query is recognized to obtain an object recognition result and that a target point of interest matching the image for query is selected from at least one candidate point of interest of an electronic map according to the object recognition result.
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Patent Agency Ranking
公开(公告)号：US20230135536A1
公开(公告)日：2023-05-04
申请号：US18089395
申请日：2022-12-27
Inventor： Chenhui LI , Teng HU , Shikun FENG , Yongfeng CHEN
Abstract: A method and an apparatus for processing a table are provided. The method includes: obtaining text information of cells in the table; obtaining structure information of the cells in the table; and inputting a query word, the text information, and the structure information of the table into a table information extraction model to obtain an answer output from the table information extraction model, wherein the output answer corresponds to the query word in the table.
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公开(公告)号：US20230135109A1
公开(公告)日：2023-05-04
申请号：US18050672
申请日：2022-10-28
Inventor： Tianyi Wu , Sitong Wu , Guodong Guo
IPC: G06K9/62
Abstract: A method for processing a signal includes: in response to receiving an input feature map of the signal, dividing the input feature map into patches of a plurality of rows and patches of a plurality of columns, in which the input feature map represents features of the signal; selecting a row subset from the plurality of rows and a column subset from the plurality of columns, in which rows in the row subset are at least one row apart from each other, and columns in the column subset are at least one column apart from each other; and obtaining aggregated features by performing self-attention calculation on patches of the row subset and patches of the column subset.
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公开(公告)号：US11640319B1
公开(公告)日：2023-05-02
申请号：US17945166
申请日：2022-09-15
IPC: G06F9/48 , G06F12/0802 , G06F9/50
Abstract: A task processing method, an electronic device and a storage medium, which relate to the field of artificial intelligence, such as intelligent voices, artificial intelligence chips, or the like, are disclosed. The method may include: for to-be-executed tasks, in at least one round of processing, performing the following operations: in response to determining that one or more high-priority tasks exist in the to-be-executed tasks, calling the one or more high-priority tasks to process audio data cached in a memory; and after execution of the one or more high-priority tasks is completed, and in response to determining that one or more low-priority task exist in the to-be-executed tasks, calling the one or more low-priority tasks to process the audio data.
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公开(公告)号：US20230130771A1
公开(公告)日：2023-04-27
申请号：US18087184
申请日：2022-12-22
Inventor： Xia ZHONG
IPC: G06F40/30
Abstract: A method of dispatching power, an electronic device, and a storage medium, which relate to a field of artificial intelligence technology, and in particular to technical fields such as natural language processing and knowledge graph. The method includes: acquiring a power dispatching question information; determining a question semantic information corresponding to the power dispatching question information, wherein the question semantic information includes an identification of a target substation, a question intention, and a target parameter; and determining an answer information according to the question semantic information and a preset rule base, and outputting the answer information, wherein the answer information is used for a power dispatching of the target substation.
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公开(公告)号：US20230124389A1
公开(公告)日：2023-04-20
申请号：US17887690
申请日：2022-08-15
Inventor： Longchao WANG , Yipeng SUN , Kun YAO , Junyu HAN , Jingtuo LIU , Errui DING
IPC: G06V10/70 , G06V10/774
Abstract: A model determination method and electronic device is provided, and relates to the technical field of artificial intelligence and, in particular, to the field of computer visions and deep learning, and can be applied to image processing, image identification and other scenarios. A specific implementation solution includes an image sample and a text sample are acquired, wherein text data in the text sample is used for performing text description to target image data in the image sample; at least one image feature in the image sample is stored to a first queue, and at least text feature in the text sample is stored to a second queue; the first queue and the second queue are trained to obtain a first target model; and the first target model is determined as an initialization model for a second target model.
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