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公开(公告)号：US20220236069A1
公开(公告)日：2022-07-28
申请号：US17719913
申请日：2022-04-13
Inventor： Zhaohui Yang , Xuecen Shen , Xiao Li , Linghao Pu , Chuansheng Jia
Abstract: The present disclosure provides a method and apparatus for a route navigation, which relate to the technical fields of computer vision, image processing, augmented reality and the like. An implementation solution is: performing an augmented reality navigation on a current route based on real-time acquired GPS information of a terminal; acquiring SLAM (simultaneous localization and mapping) coordinates of the terminal; converting, in response to determining that the GPS information meets a preset positioning difference condition, the SLAM coordinates into calculated geographic coordinates; and performing an augmented reality navigation on the current route based on the calculated geographic coordinates.
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812.发明申请公开(公告)号：US20220234579A1
公开(公告)日：2022-07-28
申请号：US17721799
申请日：2022-04-15
Inventor： Changsen CHU , Daming LI , Gui HU , Yanyan WANG
IPC: B60W30/095 , G06V20/58
Abstract: A method for adjusting a vehicle-mounted surround-view model includes acquiring the vehicle-mounted surround-view model; acquiring a lateral distance and a longitudinal distance between a vehicle and an obstacle; and adjusting the vehicle-mounted surround-view model based on the lateral distance and the longitudinal distance. An apparatus for adjusting a vehicle-mounted surround-view model includes an electronic device and a storage medium, and relates to the field of smart transportation, and in particular, to the field of automobiles.
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公开(公告)号：US20220230171A1
公开(公告)日：2022-07-21
申请号：US17658436
申请日：2022-04-07
Inventor： Lei ZHANG , Bingxin FAN , Qi ZHENG , Chunhui WAN , Wei XIAO
Abstract: Provided are a method and apparatus for blockchain community governance, a device and a storage medium. The method is described below. A community governance transaction request initiated by a blockchain account is acquired. Community governance permission of the blockchain account is verified according to governance token resource information in the blockchain account. In a case where the blockchain account has the community governance permission, the community governance transaction request is executed.
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公开(公告)号：US20220230165A1
公开(公告)日：2022-07-21
申请号：US17715258
申请日：2022-04-07
Inventor： BO JING
Abstract: A blockchain-based outlet site selection method, apparatus, device and storage medium can be provided. For example, using such exemplary method, apparatus, device and storage medium, in response to an outlet site selection request of a task demander, it is possible to determine a target data source and a target feature dimension associated with the target data source; acquire, from the target data source, target feature data of candidate grids in a target region according to the target feature dimension and target region information in the outlet site selection request; select a target grid from the candidate grids according to the target feature data of the candidate grids; and control the task demander to pay a token to the target data source based on a smart contract according to usage attribute information of the target feature data.
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公开(公告)号：US20220222941A1
公开(公告)日：2022-07-14
申请号：US17707657
申请日：2022-03-29
Inventor： Desen ZHOU , Jian WANG , Hao SUN
Abstract: A method for recognizing an action includes: obtaining a sequence for key points; extracting first space-time features corresponding to the sequence; obtaining a second space-time feature corresponding to a time granularity by performing feature extraction on the first space-time features based on the time granularity; and obtaining a target recognized action of the sequence based on second space-time features corresponding to time granularities.
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Patent Agency Ranking
816.发明申请公开(公告)号：US20220219724A1
公开(公告)日：2022-07-14
申请号：US17709231
申请日：2022-03-30
Inventor： Yufeng WANG
Abstract: A method and apparatus for correcting image data, an electronic device, a computer readable storage medium and an autonomous vehicle are provided. An embodiment of the method includes: acquiring auxiliary feedback data in response to absence of a target object in current feedback data, the target object being included in historical feedback data, collection time of the auxiliary feedback data being after collection time of the current feedback data, a difference between collection time of the historical feedback data and the collection time of the current feedback data being less than a first preset duration; extracting image data of the target object in response to the target object being included in the auxiliary feedback data; and correcting the current feedback data based on the image data.
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公开(公告)号：US20220215899A1
公开(公告)日：2022-07-07
申请号：US17557691
申请日：2021-12-21
Inventor： Fan WANG , Jingzhou HE , Xiaomin FANG , Xiaonan ZHANG , Hua WU , Tian WU , Haifeng WANG
Abstract: The present disclosure discloses an affinity prediction method and apparatus, a method and apparatus for training an affinity prediction model, a device and a medium, and relates to the field of artificial intelligence technologies, such as machine learning technologies, smart medical technologies, or the like. An implementation includes: collecting a plurality of training samples, each training sample including information of a training target, information of a training drug and a test data set corresponding to the training target; and training an affinity prediction model using the plurality of training samples. In addition, there is further disclosed the affinity prediction method. The technology in the present disclosure may effectively improve accuracy and a training effect of the trained affinity prediction model. During an affinity prediction, accuracy of a predicted affinity of a target to be detected with a drug to be detected may be higher by acquiring a test data set corresponding to the target to be detected to participate in the prediction.
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公开(公告)号：US20220215180A1
公开(公告)日：2022-07-07
申请号：US17643053
申请日：2021-12-07
Inventor： Jianglu Hu , Hehan LI , Huifeng SUN , Shuqi SUN , Yue CHANG , Tingting LI , Hua WU , Haifeng WANG
IPC: G06F40/35 , G06F16/332
Abstract: The disclosure provides a method for generating a dialogue. The method includes: obtaining an input sentence; determining a type of a task-based response sentence that is to be generated, by updating a current dialogue state based on the input sentence; generating the task-based response sentence by inputting the input sentence into a task-based dialogue response generator; and determining the task-based response sentence as a target response sentence in response to the type of the task-based response sentence being a designated type.
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819.发明授权公开(公告)号：US11380232B2
公开(公告)日：2022-07-05
申请号：US16936806
申请日：2020-07-23
Inventor： Yawei Wen , Jiabing Leng , Minghao Liu , Yulin Xu , Jiangliang Guo , Xu Li
IPC: G09G3/00 , G01N21/956
Abstract: A display screen quality detection method, an apparatus, an electronic device and a storage medium. The method includes receiving a quality detection request sent by a console deployed on a display screen production line, where the quality detection request includes a display screen image captured by an image capturing device on the display screen production line, performing image preprocessing on the display screen image, and inputting the preprocessed display screen image into a defect detection model to obtain a defect detection result, where the defect detection model is obtained by training with a historical defect display screen image using a deep convolutional neural network structure and an instance segmentation algorithm, determining, according to the defect detection result, quality of a display screen corresponding to the display screen image. The technical solution has high defect detection accuracy, good system performance, and high business expansion capability.
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公开(公告)号：US20220198153A1
公开(公告)日：2022-06-23
申请号：US17694034
申请日：2022-03-14
Inventor： Jian GONG , Yu SUN , Hao TIAN , Hua WU , Haifeng WANG , Qiaoqiao SHE
IPC: G06F40/40 , G06F40/284 , G06F40/205
Abstract: A model training method, a model training platform, an electronic device and a storage medium are provided, which can be used in the field of artificial intelligence, particularly the fields of natural language processing and deep learning. The model training method includes: receiving an input; determining, based on the input, a user-oriented prefabricated function; determining, based on the input, a model training function; determining, based on the input, a pre-trained model; determining, based on the input, a network structure associated with the pre-trained model so as to support use of the pre-trained model; training, based on the input, the model by using the prefabricated function, the model training function, and the pre-trained model; and providing an output associated with a trained model.
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