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公开(公告)号：US20230044508A1
公开(公告)日：2023-02-09
申请号：US17970755
申请日：2022-10-21
Inventor： Yaping ZHANG , Haoran GAO
IPC: G06K9/62
Abstract: A data labeling processing method and apparatus, an electronic device, and a medium are provided. A method includes: determining an item feature of an item to be labeled and a resource feature of a labeling end to be matched; determining a co-occurrence feature for the item to be labeled and the labeling end to be matched; obtaining a classification result based on the item feature, the resource feature, and the co-occurrence feature, wherein the classification result indicates whether the labeling end to be matched is matched with the item to be labeled; and sending the item to be labeled to the labeling end to be matched based on the classification result.
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公开(公告)号：US20230042838A1
公开(公告)日：2023-02-09
申请号：US17879906
申请日：2022-08-03
Inventor： Jianbo ZHU
IPC: G06N3/04
Abstract: A method for data processing, an electronic device, and a computer-readable storage medium, which relate to the field of computers. The method includes: acquiring a scheduling information for a perception model based on a user application; determining, based on the scheduling information for the perception model, a scheduling set of the perception model, where the scheduling set of the perception model comprises one or more sub-models of a plurality of sub-models of the perception model; and running, based on perception data from a data collection device, the one or more sub-models of the scheduling set of the perception model, so as to output one or more perception results corresponding to the one or more sub-models.
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公开(公告)号：US20230039293A1
公开(公告)日：2023-02-09
申请号：US17973326
申请日：2022-10-25
Inventor： Feng TIAN , Daochen CHONG , Yuting LIU
Abstract: A method of processing an image, an electronic device, and a storage medium, which relate to the artificial intelligence field, in particular to fields of computer vision and intelligent transportation technologies. The method includes: determining at least one key frame image in a scene image sequence captured by a target camera; determining a camera pose parameter associated with each key frame image in the at least one key frame image, according to a geographic feature associated with the key frame image; and projecting each scene image in the scene image sequence to obtain a target projection image according to the camera pose parameter associated with the key frame image, so as to generate a scene map based on the target projection image. The geographic feature associated with any key frame image indicates localization information of the target camera at a time instant of capturing the corresponding key frame image.
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474.发明申请公开(公告)号：US20230036338A1
公开(公告)日：2023-02-02
申请号：US17963384
申请日：2022-10-11
Inventor： Fanglong Liu , Xin Li , Dongliang He
Abstract: A method and apparatus for generating an image restoration model, a medium and a program product are provided. The method includes: obtaining a first image and a second image, wherein the second image is an image obtained by restoring the first image; synthesizing images corresponding to feature points of the first image and the first image to obtain a synthesized image; and performing training by using the second image and the synthesized image to obtain an image restoration model.
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475.发明申请公开(公告)号：US20230035954A1
公开(公告)日：2023-02-02
申请号：US17844094
申请日：2022-06-20
Inventor： Jing HU , Guodong ZHAO
IPC: G16B45/00 , G16B40/20 , G16H50/50 , G06K9/62 , G06F16/901
Abstract: The present disclosure discloses a method for establishing a medicine synergism prediction model, a prediction method and corresponding apparatus, and relates to deep learning and artificial intelligence (AI) medical technologies in the field of AI technologies. A specific implementation solution includes: acquiring a relation graph, nodes in the relation graph including medicine nodes and protein nodes, and edges indicating that interaction exists between the nodes; collecting, from the relation graph, a medicine node pair with definite synergism and a label of whether the medicine node pair has synergism as training samples; and training the medicine synergism prediction model by taking the medicine node pair in the training samples as input to the medicine synergism prediction model and taking the label of whether the medicine node pair has synergism as target output; wherein the medicine synergism prediction model is obtained by learning the relation graph based on a graph convolutional network.
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Patent Agency Ranking
476.发明申请公开(公告)号：US20230031709A1
公开(公告)日：2023-02-02
申请号：US17814135
申请日：2022-07-21
Inventor： Zhihua YU , Jianfeng SUN , Yun ZHAO , Ganghui WANG , Yanfu ZHANG
IPC: B60W60/00
Abstract: The present disclosure provides an autonomous driving vehicle detection method and apparatus, an electronic device and a readable storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence technologies such as intelligent transportation and autonomous driving technologies. A specific implementation solution involves: acquiring passengers' ride information on an autonomous driving vehicle; determining a vehicle component change state of the autonomous driving vehicle according to the ride information of the autonomous driving vehicle; wherein the vehicle component change state includes a door change state of the autonomous driving vehicle and a seat belt change state of the autonomous driving vehicle; and determining a seat load of the autonomous driving vehicle according to the vehicle component change state of the autonomous driving vehicle.
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公开(公告)号：US20230031579A1
公开(公告)日：2023-02-02
申请号：US17938457
申请日：2022-10-06
Inventor： Guanghua YU , Qingqing DANG , Haoshuang WANG , Guanzhong WANG , Xiaoguang HU , Dianhai YU , Yanjun MA , Qiwen LIU , Can WEN
IPC: G06V10/77 , G06V10/82 , G06V10/764 , G06V10/80
Abstract: A method for detecting an object in an image includes: obtaining an image to be detected; generating a plurality of feature maps based on the image to be detected by a plurality of feature extracting networks in a neural network model trained for object detection, in which the plurality of feature extracting networks are connected sequentially, and input data of a latter feature extracting network in the plurality of feature extracting networks is based on output data and input data of a previous feature extracting network; and generating an object detection result based on the plurality of feature maps by an object detecting network in the neural network model.
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公开(公告)号：US20230029687A1
公开(公告)日：2023-02-02
申请号：US17655772
申请日：2022-03-21
Inventor： Jun Xu , Zeming Liu , Zeyang Lei , Zhengyu Niu , Hua Wu , Haifeng Wang
Abstract: The present disclosure provides a dialog method and system, an electronic device and a storage medium, and relates to the field of artificial intelligence (AI) technologies such as deep learning and natural language processing. A specific implementation scheme involves: rewriting a corresponding dialog state based on received dialog information of a user; determining to-be-used dialog action information based on the dialog information of the user and the dialog state; and generating a reply statement based on the dialog information of the user and the dialog action information. According to the present disclosure, the to-be-used dialog action information can be determined based on the dialog information of the user and the dialog state; and then the reply statement is generated based on the dialog action information, thereby providing an efficient dialog scheme.
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479.发明申请公开(公告)号：US20230022550A1
公开(公告)日：2023-01-26
申请号：US17937979
申请日：2022-10-04
Inventor： Hanqi GUO , Zhibin HONG , Tianshu HU
Abstract: An image processing method includes: obtaining a first latent code by encoding an image to be edited in a Style (S) space of a Generative Adversarial Network (GAN), in which the GAN is a StyleGAN; encoding the text description information, obtaining a text code of a Contrastive Language-Image Pre-training (CLIP) model, and obtaining a second latent code by mapping the text code on the S space; obtaining a target latent code that satisfies distance requirements by performing distance optimization on the first latent code and the second latent code; and generating a target image based on the target latent code.
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公开(公告)号：US20230020324A1
公开(公告)日：2023-01-19
申请号：US17951094
申请日：2022-09-22
Inventor： Chong LIU , Zecheng ZHUO , Qiang HUANG , Siqi XU , Wenjun ZHANG , Saiding HONG
Abstract: A task processing method, a task processing device and an electronic device are provided, which relate to the field of cloud computing technology and big data technology, in particular to the field of task processing technology. The task processing method includes: obtaining a task processing request for a to-be-processed task, the task processing request including processing time information of the to-be-processed task and a service type of the to-be-processed task; in the case that the processing time information of the to-be-processed task meets a triggering condition, writing the to-be-processed task into a corresponding message queue in accordance with the service type of the to-be-processed task, one message queue corresponding to a respective one service type; and processing the to-be-processed task in the message queue, to obtain a task processing result of the to-be-processed task.
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