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公开(公告)号：US20210256725A1
公开(公告)日：2021-08-19
申请号：US17029611
申请日：2020-09-23
Inventor： Xiaoxing ZHU , Fan YANG , Chengfa WANG , Yongyi SUN
Abstract: A target detection method, device, an electronic apparatus, and a storage medium are provided, which are related to a field of computer vision technology. The specific implementation includes: determining at least one first image from multiple images, wherein a candidate target is contained in respective first images; acquiring confidence degrees of the candidate target in the respective first images; calculating an appearance probability of the candidate target according to weights and the confidence degrees of the respective first image; and determining the candidate target as a final target, in a case that the appearance probability meets a first preset condition. A candidate target may be comprehensively determined by using a detection result of multiple images, thereby determining a detected final target, and improving the detection accuracy of the final target.
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公开(公告)号：US20210256051A1
公开(公告)日：2021-08-19
申请号：US17069410
申请日：2020-10-13
Inventor： Qi WANG , Zhifan FENG , Zhijie LIU , Chunguang CHAI , Yong ZHU
Abstract: A theme classification method based on multimodality is related to a field of a knowledge map. The method includes obtaining text information and non-text information of an object to be classified. The non-text information includes at least one of visual information and audio information. The method also includes determining an entity set of the text information based on a pre-established knowledge base, and then extracting a text feature of the object based on the text information and the entity set. The method also includes determining a theme classification of the object based on the text feature and a non-text feature of the object.
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公开(公告)号：US20210248484A1
公开(公告)日：2021-08-12
申请号：US17205894
申请日：2021-03-18
Inventor： Shuohuan WANG , Siyu DING , Yu SUN
IPC: G06N5/02 , G06K9/62 , G06F40/279
Abstract: The disclosure discloses a method and an apparatus for generating a semantic representation model, and a storage medium. The detailed implementation includes: performing recognition and segmentation on the original text included in an original text set to obtain knowledge units and non-knowledge units in the original text; performing knowledge unit-level disorder processing on the knowledge units and the non-knowledge units in the original text to obtain a disorder text; generating a training text set based on the character attribute of each character in the disorder text; and training an initial semantic representation model by employing the training text set to generate the semantic representation model.
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604.发明授权公开(公告)号：US11087741B2
公开(公告)日：2021-08-10
申请号：US16254309
申请日：2019-01-22
Inventor： Jianwei Sun , Chao Li , Xin Li , Weixin Zhu , Ming Wen
IPC: G10L15/06 , G10L21/0264 , G10L25/78 , G10L21/0216 , G10L15/20 , G10L15/16 , G10L25/51
Abstract: Embodiments of the present disclosure include methods, apparatuses, devices, and computer readable storage mediums for processing far-field environmental noise. The method can comprise processing collected far-field environmental noise to a noise segment in a predetermined format. The method can further comprise establishing a far-field voice recognition model based on the noise segment and a near-field voice segment; and determining validity of the noise segment based on the far-field voice recognition model. The solution of the present disclosure can optimize anti-noise performance of the far-field voice recognition model by differentiated training of noise in different user scenarios of a far-field voice recognition product.
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公开(公告)号：US11087203B2
公开(公告)日：2021-08-10
申请号：US15618415
申请日：2017-06-09
Inventor： Yong Wang , Jian Ouyang , Wei Qi , Sizhong Li
Abstract: The present application discloses a method and apparatus for processing a data sequence. A specific implementation of the method includes: receiving an inputted to-be-processed data sequence; copying a weight matrix in a recurrent neural network model to an embedded block random access memory (RAM) of a field-programmable gate array (FPGA); processing sequentially each piece of to-be-processed data in the to-be-processed data sequence by using an activation function in the recurrent neural network model and the weight matrix stored in the embedded block RAM; and outputting a processed data sequence corresponding to the to-be-processed data sequence. This implementation improves the data sequence processing efficiency of the recurrent neural network model.
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Patent Agency Ranking
公开(公告)号：US11080481B2
公开(公告)日：2021-08-03
申请号：US15627220
申请日：2017-06-19
Inventor： Jun Zhang
Abstract: Embodiments of the present disclosure disclose a method and a device for classifying questions based on artificial intelligence. The method includes: acquiring text content of a question input by a user, and performing a word segmentation process on the text content to obtain a plurality of segmentations; acquiring hidden representation vectors of the plurality of segmentations; generating a first vector of the text content according to the hidden representation vectors; and determining a target responder corresponding to the question according to the first vector and a preset classification model, and appointing the target responder to the user. The method may simplify operation steps, reduce interactions between a user and a service center, and improve efficiency of the service center.
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公开(公告)号：US20210234687A1
公开(公告)日：2021-07-29
申请号：US17208788
申请日：2021-03-22
Inventor： Yangjie Zhou , Lianghui Chen , Jun Fang , Yan Fu
Abstract: A method includes training, in collaboration with a plurality of collaborators, a plurality of tree models based on data of user samples shared with the plurality of collaborators; performing feature importance evaluation on the trained tree models for assigning weights to feature columns generated by respective ones of the tree models; in response to a determination that a linear model is to be trained in collaboration with a first collaborator of the plurality of collaborators, inputting data of a first user sample shared with the first collaborator into a first tree model of the plurality of tree models and one or more second tree models of the plurality of tree models to obtain a plurality of one-hot encoded feature columns; and screening the obtained feature columns based on the respective weights and training the linear model according to the screened feature columns and the data of the first user sample.
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公开(公告)号：US20210233518A1
公开(公告)日：2021-07-29
申请号：US17209681
申请日：2021-03-23
Inventor： Xin LI , Bin HUANG , Ce ZHANG , Jinfeng BAI , Lei JIA
Abstract: A method and an apparatus for recognizing a voice are provided. The method may include: inputting a target voice into a pre-trained voice recognition model to obtain an initial text output by at least one recognition network in the voice recognition model, the recognition network including a plurality of preset types of processing layers, and at least one type of processing layer of the recognition network being obtained by training based on a voice sample in a preset direction interval; and determining a voice recognition result of the target voice, based on the initial text.
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609.发明申请公开(公告)号：US20210231461A1
公开(公告)日：2021-07-29
申请号：US17209826
申请日：2021-03-23
Inventor： Kun Wang
Abstract: A vehicle infrastructure cooperative positioning method and apparatus, an electronic device, a storage medium, and an autonomous vehicle are provided, which are related to fields of autonomous driving, intelligent transportation, and vehicle infrastructure cooperation. An implementation includes: receiving broadcast information sent by a road side unit, the broadcast information comprising sending time, a height of the road side unit and location information of the road side unit; calculating a horizontal distance between a vehicle and the road side unit according to receiving time and the sending time of the broadcast information and the height of the road side unit; and matching the horizontal distance between the vehicle and the road side unit and the location information of the road side unit with map information to obtain location information of the vehicle.
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公开(公告)号：USD926209S1
公开(公告)日：2021-07-27
申请号：US29698384
申请日：2019-07-16
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