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公开(公告)号：US20230130771A1
公开(公告)日：2023-04-27
申请号：US18087184
申请日：2022-12-22
Inventor： Xia ZHONG
IPC: G06F40/30
Abstract: A method of dispatching power, an electronic device, and a storage medium, which relate to a field of artificial intelligence technology, and in particular to technical fields such as natural language processing and knowledge graph. The method includes: acquiring a power dispatching question information; determining a question semantic information corresponding to the power dispatching question information, wherein the question semantic information includes an identification of a target substation, a question intention, and a target parameter; and determining an answer information according to the question semantic information and a preset rule base, and outputting the answer information, wherein the answer information is used for a power dispatching of the target substation.
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公开(公告)号：US20230124389A1
公开(公告)日：2023-04-20
申请号：US17887690
申请日：2022-08-15
Inventor： Longchao WANG , Yipeng SUN , Kun YAO , Junyu HAN , Jingtuo LIU , Errui DING
IPC: G06V10/70 , G06V10/774
Abstract: A model determination method and electronic device is provided, and relates to the technical field of artificial intelligence and, in particular, to the field of computer visions and deep learning, and can be applied to image processing, image identification and other scenarios. A specific implementation solution includes an image sample and a text sample are acquired, wherein text data in the text sample is used for performing text description to target image data in the image sample; at least one image feature in the image sample is stored to a first queue, and at least text feature in the text sample is stored to a second queue; the first queue and the second queue are trained to obtain a first target model; and the first target model is determined as an initialization model for a second target model.
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公开(公告)号：US20230123671A1
公开(公告)日：2023-04-20
申请号：US18069856
申请日：2022-12-21
Inventor： Xiaobo WAN , Yueqiang DONG , Kang WANG , Xianpeng MENG
IPC: G06T7/73
Abstract: A method for localization and mapping is provided. The method includes: determining a first estimated pose of a current frame based on a matching result of scan data of the current frame and a first submap and a pose of the first submap, where the first submap includes scan data of a common-viewing-angle frame; adding the scan data of the current frame into the first submap; determining a plurality of candidate poses around the first estimated pose; matching the scan data of the current frame with the second submap based on each candidate pose and a pose of each second submap to determine a score of each candidate pose, and determining a second estimated pose of the current frame corresponding to the second submap; determining a third estimated pose from the at least one second estimated pose; updating the scan data based on the third estimated pose.
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公开(公告)号：US20230122373A1
公开(公告)日：2023-04-20
申请号：US18083272
申请日：2022-12-16
Inventor： Xiaoqing Ye , Hao Sun
IPC: G06T7/55
Abstract: A method for training a depth estimation model includes: obtaining sample images; generating sample depth images and sample residual maps corresponding to the sample images; determining sample photometric error information corresponding to the sample images based on the sample depth images; and obtaining a target depth estimation model by training an initial depth estimation model based on the sample images, the sample residual maps and the sample photometric error information.
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435.发明申请公开(公告)号：US20230120580A1
公开(公告)日：2023-04-20
申请号：US18068179
申请日：2022-12-19
Inventor： Lei Dong
IPC: G06F3/06
Abstract: An access control method for a shared memory includes: creating and initializing the shared memory, the shared memory initialized including a plurality of region configuration objects, a plurality of block configuration objects and a plurality of data buffers; determining at least one target block according to a volume of data to be written corresponding to a first process; and writing the data by the first process into a target data buffer corresponding to the at least one target block, storing configuration information of the at least one target block to a region configuration object corresponding to a target region, and storing configuration information of the target data buffer to a block configuration object corresponding to the at least one target block.
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Patent Agency Ranking
436.发明申请公开(公告)号：US20230120054A1
公开(公告)日：2023-04-20
申请号：US17884968
申请日：2022-08-10
Inventor： Qiansheng YANG
Abstract: There is provided a key point detection method, a model training method, an electronic device and a storage medium, which relates to the field of artificial intelligence, and particularly to computer vision technologies and deep learning technologies, and may be particularly used for scenarios, such as behavior recognition, human-body special effect generation, entertainment game interaction, or the like. The key point detection method includes: extracting features of an image to obtain image features of the image; acquiring graph information of key points of a target in the image based on the image features, the graph information including a location relationship graph of the key points and location information of a central point in the key points; and acquiring location information of non-central points in the key points based on the location relationship graph of the key points and the location information of the central point.
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437.发明申请公开(公告)号：US20230114293A1
公开(公告)日：2023-04-13
申请号：US17682131
申请日：2022-02-28
Inventor： Jiaming LIU , Licheng TANG
IPC: G06V30/244 , G06V30/19 , G06T11/20
Abstract: Provided are a method for training a font generation model, a method for establishing a font library, and a device. The method for training a font generation model includes the following steps. A source-domain sample character is input into the font generation model to obtain a first target-domain generated character. The first target-domain generated character is input into a font recognition model to obtain the target adversarial loss of the font generation model. The model parameter of the font generation model is updated according to the target adversarial loss.
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438.发明授权公开(公告)号：US11625248B2
公开(公告)日：2023-04-11
申请号：US17572140
申请日：2022-01-10
Inventor： Weihang Chen , Jiabin Yang , Hongyu Liu , Xiang Lan
Abstract: The present disclosure provides an operator registration method and apparatus for a deep learning framework, a device and a storage medium, relates to the field of computer technologies, and specifically to the field of artificial intelligence such as deep learning. The operator registration method for a deep learning framework includes: receiving registration information provided by a user for registering operators with the deep learning framework, the registration information including: a custom calculation function, the custom calculation function being written in a manner irrelevant to the deep learning framework; building operator meta-information in the deep learning framework based on the registration information; and constructing a to-be-registered operator within the deep learning framework based on the operator meta-information, and registering the to-be-registered operator in a global operator table within the deep learning framework. The present disclosure can simplify an operator registration process.
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公开(公告)号：US20230102804A1
公开(公告)日：2023-03-30
申请号：US18077026
申请日：2022-12-07
Inventor： Xiyan LIU , Junjie CAI , Kai ZHONG , Jianzhong YANG , Deguo XIA , Tongbin ZHANG , Zhen LU
IPC: G06V10/24 , G06V30/16 , G06V10/774 , G06V10/77
Abstract: A method of rectifying a text image, a training method, an electronic device, and a medium, which relate to a field of an artificial intelligence technology, in particular to fields of computer vision, deep learning technology, intelligent transportation and high-precision maps. An exemplary implementation includes: performing, based on a gating strategy, a plurality of first layer-wise processing on a text image to be rectified, so as to obtain respective feature maps of a plurality of layer levels, wherein each of the feature maps includes a text structural feature related to the text image to be rectified, and the gating strategy is configured to increase an attention to the text structural feature; and performing a plurality of second layer-wise processing on the respective feature maps of the plurality of layer levels, so as to obtain a rectified text image corresponding to the text image to be rectified.
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公开(公告)号：US20230101349A1
公开(公告)日：2023-03-30
申请号：US17872775
申请日：2022-07-25
Inventor： Yifei WANG , Yang WANG , Yu WANG
IPC: G06F16/245
Abstract: A query processing method, an electronic device and a storage medium are provided, which relates to the field of technologies, such as cloud computing technologies, big data technologies, or the like. An implementation includes: analyzing a type of a received retrieval request; and performing a query processing operation on the retrieval request based on the type of the retrieval request.
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