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公开(公告)号：US20210331696A1
公开(公告)日：2021-10-28
申请号：US17366433
申请日：2021-07-02
Inventor： Houqiang Zhu , Jia Song , Pengfei Wei , Bo Zhan
Abstract: An information processing method, an electronic device, and a storage medium are provided, which are related to the fields of big data, cloud computing, automatic driving, and the like. The specific implementation includes: receiving a data acquisition task and an acquisition strategy issued by a cloud; analyzing the acquisition strategy to obtain priority information of the acquired data for the data acquisition task; and taking the priority information as an importance degree identifier corresponding to the acquired data, and performing preferential transmission after data acquisition and data screening according to the importance degree identifier.
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182.发明授权公开(公告)号：US11157766B2
公开(公告)日：2021-10-26
申请号：US16708241
申请日：2019-12-09
Inventor： Chengzhi Han , Yizhi Tang , Fei Yan
Abstract: A method, apparatus, device, and medium for calibrating a pose relationship between a vehicle sensor and a vehicle are provided. The method includes: acquiring, by a field-end sensor mounted in a side edge area of the calibration environment, a first image of the calibration environment, and acquiring a second image of the calibration environment by a vehicle sensor, different identifier units being laid on a spatial plane of the calibration environment; determining a first pose transformation relationship between a vehicle coordinate system and a world coordinate system based on the first image; determining a second pose transformation relationship between a vehicle sensor coordinate system and the world coordinate system based on the second image; and calibrating the pose relationship between the vehicle sensor and the vehicle using the above determined pose transformation relationships.
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183.发明授权公开(公告)号：US11157698B2
公开(公告)日：2021-10-26
申请号：US16176783
申请日：2018-10-31
Inventor： Jizhou Huang , Yaming Sun , Wei Zhang , Haifeng Wang
IPC: G06F40/00 , G06F40/295 , G06F16/951 , G06K9/00 , G06K9/62 , G06N7/00 , G06F40/30 , G06F40/268 , G06F40/242
Abstract: The present disclosure provides a method of training a descriptive text generating model, and a method and apparatus for generating a descriptive text, wherein the method of training a descriptive text generating model comprises: obtaining training data, the training data comprising: a notional word, a first descriptive text and a second descriptive text of the notional word, wherein the second descriptive text is a concise expression of the first descriptive text; regarding the notional word and the first descriptive text of the notional word as input of a seq2seq model, regarding the second descriptive text of the notional word as output of the seq2sequ model, and training the seq2seq model to obtain a descriptive text generating model. The descriptive text generating model according to the present disclosure can implement generation of a concise descriptive text with respect to the notional word in a deep understanding manner.
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公开(公告)号：US20210327262A1
公开(公告)日：2021-10-21
申请号：US17331838
申请日：2021-05-27
Inventor： Bo Liu
Abstract: The application discloses a method and an apparatus for reporting a traffic event, an electronic device and a storage medium. The detailed implementation scheme is: obtaining a surveillance video and an object in a surveillance video; obtaining location information and/or speed information of the object; determining whether the object occurs a traffic event based on the location information and/or the speed information of the object; in response to determining that the traffic event is occurred, reporting starting information of the traffic event and generating state information of the traffic event, in which the state information of the traffic event is updated with the location information and/or the speed information of the object; supervising the state information of the traffic event; reporting ending information of the traffic event in response to determining that the traffic event ends based on the state information of the traffic event.
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公开(公告)号：US20210326639A1
公开(公告)日：2021-10-21
申请号：US17360535
申请日：2021-06-28
Inventor： Min Yang
Abstract: An image recognition method, electronic device, and storage medium are provided and relate to the fields of artificial intelligence, computer vision, deep learning, image processing, and the like. The method includes: performing joint training on a first sub-network configured for recognition processing and a second sub-network configured for retrieval processing in a classification network by adopting an identical set of training data to obtain a trained target classification network, wherein, the first sub-network and the second sub-network are twin networks that are consistent in network structures and share a set of weights; and inputting image data to be recognized into the target classification network to obtain a recognition result. By adopting the method, the accuracy of the image recognition may be improved.
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Patent Agency Ranking
公开(公告)号：US20210326628A1
公开(公告)日：2021-10-21
申请号：US17085178
申请日：2020-10-30
Inventor： Fu QU , Minhui PANG , Guangyao HAN , Zeqing JIANG
Abstract: Embodiments of the present disclosure disclose a method and apparatus for extracting information, a device and a storage medium, relate to the field of image processing technology. The method may include: acquiring a location template corresponding to a category of a target document image; determining key point locations on the target document image; generating a transformation matrix based on the key point locations on the target document image and key point locations on the location template; determining locations of information corresponding to the target document image, based on locations of information on the location template and the transformation matrix; and extracting information at the locations of information corresponding to the target document image to obtain information in the target document image.
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公开(公告)号：US11151870B2
公开(公告)日：2021-10-19
申请号：US17028892
申请日：2020-09-22
Inventor： Qiqi Xu
Abstract: The present disclosure provides a traffic scheme control method and device. The method includes: obtaining green light waste time of each lane in each flow direction at a traffic intersection during a green light time period; obtaining a class saturation of each lane, and obtaining a class saturation of each flow direction according to the class saturation of each lane; obtaining a class saturation of a current control scheme based on the class saturation of each group of flow directions in the current control scheme; determining a class saturation of each candidate control scheme; and determining a target control scheme having a minimum class saturation, and when the class saturation of the current control scheme is greater than the minimum class saturation, controlling a signal controller to control a next traffic cycle at the traffic intersection according to the target control scheme.
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公开(公告)号：US20210312910A1
公开(公告)日：2021-10-07
申请号：US17353758
申请日：2021-06-21
Inventor： Li CHEN , Saisai ZOU
Abstract: Embodiments of the present disclosure disclose a method, apparatus and device for training a network, and a storage medium, relate to the field of artificial intelligence technology such as deep learning and speech analysis. A semantic prediction network comprises: an encoder network and at least one decoder network; and a particular solution is: acquiring a first speech feature of a target speech sample; the target speech sample being a synthesized speech sample or a real speech sample, the synthesized speech sample being attached with a sample syllable label and a semantic label comprising a value of the domain, and the real speech sample being attached with a sample syllable label; and jointly training an initial semantic prediction network and a syllable classification network using the first speech feature of the target speech sample, to obtain a trained semantic prediction network.
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189.发明申请公开(公告)号：US20210312686A1
公开(公告)日：2021-10-07
申请号：US17350449
申请日：2021-06-17
Inventor： Tianwei Lin , Fu Li , Xiaoqing Ye , Henan Zhang , Xin Li
Abstract: The present disclosure discloses a method and apparatus for generating a human body three-dimensional model, a device and a storage medium. The method may include: receiving a single human body image, and extracting an SMPL human body three-dimensional model corresponding to the human body image and a PIFu human body three-dimensional model corresponding to the human body image; matching the SMPL human body three-dimensional model with the PIFu human body three-dimensional model to obtain a matching result; determining a vertex of the SMPL human body three-dimensional model closest to a vertex of the PIFu human body three-dimensional model based on the matching result to obtain a binding weight of the vertex of the PIFu human body three-dimensional model and each skeleton point of the SMPL human body three-dimensional model; and outputting a drivable human body three-dimensional model.
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190.发明申请公开(公告)号：US20210312293A1
公开(公告)日：2021-10-07
申请号：US17354873
申请日：2021-06-22
Inventor： Teng Xi , Gang Zhang , Shengzhao Wen
Abstract: Embodiments of the present disclosure provide a method and apparatus for determining a network model pruning strategy, a device and a storage medium. The method may include: generating a BN threshold search space using configuration information of the BN threshold search space for a network model for a target hardware; generating a pruning strategy code generator using the BN threshold search space; randomly generating a BN threshold code using the pruning strategy code generator; decoding the BN threshold code to obtain a candidate BN threshold; and determining a target pruning strategy of the network model for the target hardware, based on a pruning accuracy loss of the network model corresponding to the candidate BN threshold.
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