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公开(公告)号：US20220234593A1
公开(公告)日：2022-07-28
申请号：US17717834
申请日：2022-04-11
Inventor： Siyuan WU
Abstract: An interaction method for an intelligent cockpit is provided. It relates to the technical field of artificial intelligence, and in particular to intelligent interaction. An implementation is: acquiring multimodal information associated with the intelligent cockpit according to an interaction instruction of a user; preprocessing the multimodal information; determining, by using a pre-trained multimodal information alignment model, whether the preprocessed multimodal information is aligned with the interaction instruction; and determining a response strategy for the interaction instruction based on a result of the determination and the preprocessed multimodal information.
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公开(公告)号：US20220228880A1
公开(公告)日：2022-07-21
申请号：US17712557
申请日：2022-04-04
Inventor： Tingting Zhai , Peng Yang , Hongfei Zhu
IPC: G01C21/36
Abstract: The present disclosure provides a method for generating navigation information, an apparatus for generating navigation information, a device, a medium, and a product. The present disclosure relates to the technical field of computers, and specifically relates to the technical field of artificial intelligence, and the present disclosure may be applied to a map navigation scenario. A specific implementation includes: acquiring intersection feature information; determining a set of a complex intersection based on the intersection feature information; determining intersection type information corresponding to the complex intersection in the set of the complex intersection; and generating navigation information corresponding to the complex intersection in the set of the complex intersection based on the intersection type information.
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公开(公告)号：US20220224536A1
公开(公告)日：2022-07-14
申请号：US17657356
申请日：2022-03-30
Inventor： Lei ZHANG , Bingxin FAN , Qi ZHENG , Chunhui WAN , Wei XIAO
IPC: H04L9/32 , H04L67/104
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 and a governance scene to which the community governance transaction request belongs are acquired. Community governance authority of the blockchain account in the governance scene is verified according to the governance scene and governance token resource information in the blockchain account. In a case where a community governance authority verification is successful, the community governance transaction request is executed.
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234.发明申请公开(公告)号：US20220222951A1
公开(公告)日：2022-07-14
申请号：US17709283
申请日：2022-03-30
Inventor： Xiaoqing Ye , Hao Sun
Abstract: A 3D object detection method includes: obtaining a first monocular image; and inputting the first monocular image into an object model, and performing a first detection operation to obtain first detection information in a 3D space, wherein the first detection operation includes performing feature extraction in accordance with the first monocular image to obtain a first point cloud feature, adjusting the first point cloud feature in accordance with a target learning parameter to obtain a second point cloud feature, and performing 3D object detection in accordance with the second point cloud feature to obtain the first detection information, wherein the target learning parameter is used to present a difference degree between the first point cloud feature and a target point cloud feature of the first monocular image.
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公开(公告)号：US20220222111A1
公开(公告)日：2022-07-14
申请号：US17707895
申请日：2022-03-29
Inventor： Haifeng Wang , Xiaoguang HU , Dianhai YU , Yanjun MA , Tian WU
Abstract: A scheduling method for a deep learning framework, a scheduling apparatus, an electronic device, a storage medium, and a program product is provided, and can be used in the field of artificial intelligence, especially in the fields of machine learning, deep learning, etc. The method includes: receiving a processing request for processing a plurality of tasks by using a dedicated processing unit, the processing request including scheduling requirements for the plurality of tasks, and each of the plurality of tasks being associated with execution of multi-batch data processing; and scheduling, based on the scheduling requirements for the plurality of tasks in batches of data, the dedicated processing unit to process the plurality of tasks.
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Patent Agency Ranking
公开(公告)号：US11379980B2
公开(公告)日：2022-07-05
申请号：US17097632
申请日：2020-11-13
Inventor： Fangxin Shang , Yehui Yang , Lei Wang , Yanwu Xu
Abstract: The present application discloses an image processing method, an apparatus, an electronic device and a storage medium. A specific implementation is: acquiring an image to be processed; acquiring a grading array according to the image to be processed and a grading network model, where the grading network model is a model pre-trained according to mixed samples, the number of elements contained in the grading array is C−1, C is the number of lesion grades, C lesion grades include one lesion grade without lesion and C−1 lesion grades with lesion, and a kth element in the grading array is a probability of a lesion grade corresponding to the image to be processed being greater than or equal to a kth lesion grade, where 1≤k≤C−1, and k is an integer; determining the lesion grade corresponding to the image to be processed according to the grading array.
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237.发明申请公开(公告)号：US20220189189A1
公开(公告)日：2022-06-16
申请号：US17683508
申请日：2022-03-01
Inventor： Licheng TANG , Jiaming LIU
IPC: G06V30/244 , G06V10/82 , G06V10/778 , G06V30/12 , G06V30/18 , G06V10/764 , G06N3/04
Abstract: A method of training a cycle generative networks model and a method of building a character library are provided, which relate to a field of artificial intelligence, in particular to a computer vision and deep learning technology, and which may be applied to a scene such as image processing and image recognition. A specific implementation scheme includes: inputting a source domain sample character into the cycle generative networks model to obtain a first target domain generated character; calculating a character error loss and a feature loss of the cycle generative networks model by inputting the first target domain generated character and a preset target domain sample character into a character classification model; and adjusting a parameter of the cycle generative networks model according to the character error loss and the feature loss. An electronic device and a storage medium are further provided.
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238.发明申请公开(公告)号：US20220180043A1
公开(公告)日：2022-06-09
申请号：US17682422
申请日：2022-02-28
Inventor： Licheng TANG , Jiaming LIU
IPC: G06F40/109 , G06V30/19
Abstract: Provided is a training method for a character generation model, a character generation method, apparatus and device, which relate to the technical field of artificial intelligences, particularly, the technical field of computer vision and deep learning. The specific implementation scheme includes: a first training sample is acquired, a target model is trained based on the first training sample, and a first character confrontation loss is acquired; a second training sample is acquired, the target model is trained based on the second training sample, and a second character confrontation loss, a component classification loss and a style confrontation loss are acquired; and a parameter of the character generation model is adjusted according to the first character confrontation loss, the second character confrontation loss, the component classification loss and the style confrontation loss.
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公开(公告)号：US20220174122A1
公开(公告)日：2022-06-02
申请号：US17676056
申请日：2022-02-18
Abstract: Provided are a fusing and degradation method and apparatus for a micro-service, a device, a medium, and a program product, which relate to the field of the Internet, in particular to the field of fusing and degradation. The specific implementation is as follows: instantiating, by a monitoring probe woven into a micro-service traffic process, a fuse component according to an obtained fusing and degradation rule, and weaving, by the monitoring probe, the fuse component into the traffic process, where the fuse component is used for performing fusing and degradation on a traffic request processed in the traffic process. The fusing and degradation technology during the running of a micro-service is achieved through a probe so that the micro-service developer can fuse and degrade a micro-service application that is running without hard coding, thereby improving the efficiency and stability of the micro-service fusing and degradation.
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公开(公告)号：US20220172376A1
公开(公告)日：2022-06-02
申请号：US17675979
申请日：2022-02-18
Inventor： Xiangbo SU , Jian WANG , Hao SUN
Abstract: The present disclosure provides a target tracking method, a target tracking device and an electronic apparatus. The target tracking method includes: inputting an ith image and an (i−1)th image in a to-be-detected video stream into a target deep learning model, i being an integer greater than 1; detecting a target in the ith image to obtain a first target detection box, and tracking the target in the (i−1)th image to obtain a tracking heatmap; and determining a target tracking result in accordance with the first target detection box, the tracking heatmap and the (i−1)th image.
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