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公开(公告)号：US11789997B2
公开(公告)日：2023-10-17
申请号：US17025320
申请日：2020-09-18
Inventor： Miao Zhang , Qun Wang
CPC classification number: G06F16/5866 , G06F18/22 , G06V10/764 , G06V10/82 , G06V10/94 , G06V40/10 , G06V40/16 , G06V40/174
Abstract: Embodiments of the present disclosure provide an image recognition method and apparatus, an electronic device and a medium, and relates to the field of image processing. The method may include: acquiring a to-be-recognized image sent by a client, and determining whether the to-be-recognized image is a back image; determining characteristic information of the to-be-recognized image in at least one dimension, when it is determined that the to-be-recognized image is the back image; and determining a target front side image matching the to-be-recognized image according to the characteristic information, and returning the target front side image to the client to cause the client to display the target front side image.
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812.发明授权
公开(公告)号：US11784830B2
公开(公告)日：2023-10-10
申请号：US17210190
申请日：2021-03-23
Inventor： Xin Zhao , Danfeng Lu , Sheng Chen , Jingru Xie
IPC: H04L9/32
CPC classification number: H04L9/3268 , H04L9/3265
Abstract: A method includes acquiring a root certificate of a first node; generating a target sub-certificate based on the root certificate, where the target sub-certificate includes a first sub-certificate of a first functional module of a first application associated with the first node; and sending the target sub-certificate to a terminal device. The target sub-certificate is used for the first functional module of the first application in the terminal device communicating through the target sub-certificate. In such a manner, a capability of managing the first sub-certificate of the first functional module in the terminal device can be improved.
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公开(公告)号：US11782981B2
公开(公告)日：2023-10-10
申请号：US16213610
申请日：2018-12-07
Inventor： Ye Xu , Zhifan Feng , Chao Lu , Yang Zhang , Zhou Fang , Shu Wang , Yong Zhu , Ying Li
IPC: G06F16/901 , G06F16/28 , G06F16/951 , G06F16/955
CPC classification number: G06F16/9024 , G06F16/288 , G06F16/951 , G06F16/955
Abstract: Embodiments of the disclosure disclose a method, apparatus, server, and storage medium for incorporating a structured entity, wherein the method for incorporating a structured entity can comprise: selecting a candidate entity associated with a to-be-incorporated structured entity from a knowledge graph, determining the to-be-incorporated structured entity being an associated entity based on prior attribute information of a category of the candidate entity and a preset model, merging the associated entity and the candidate entity, and incorporating the associated entity into the knowledge graph. The embodiments can select a candidate entity, and then integrate a preset model using prior knowledge, which can effectively improve the efficiency and accuracy in associating entities, and reduce the amount of calculation, to enable the structured entity to be simply and efficiently incorporated into the knowledge graph.
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公开(公告)号：US11762697B2
公开(公告)日：2023-09-19
申请号：US16248560
申请日：2019-01-15
Inventor： Kun Liu , Kai Zhou , Qian Wang , Yuanhao Xiao , Lan Liu , Dongze Xu , Tianhan Xu , Jiangliang Guo , Jin Tang , Faen Zhang , Shiming Yin
IPC: G06N3/08 , G06F9/50 , G06F18/2413 , G06V10/764 , G06V10/82 , G06F18/21
CPC classification number: G06F9/5027 , G06F9/5011 , G06F18/24143 , G06N3/08 , G06V10/764 , G06V10/82 , G06F18/21
Abstract: The present disclosure discloses a method and apparatus for scheduling a resource for a deep learning framework. The method can comprise: querying statuses of all deep learning job objects from a Kubernetes platform at a predetermined interval; and submitting, in response to finding from the queried deep learning job objects a deep learning job object having a status conforming to a resource request submission status, a resource request to the Kubernetes platform to schedule a physical machine where the Kubernetes platform is located to initiate a deep learning training task. The method can completely automate the allocation and release on the resource of the deep learning training task.
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公开(公告)号：US11756529B2
公开(公告)日：2023-09-12
申请号：US17123253
申请日：2020-12-16
Inventor： Liao Zhang , Xiaoyin Fu , Zhengxiang Jiang , Mingxin Liang , Junyao Shao , Qi Zhang , Zhijie Chen , Qiguang Zang
CPC classification number: G10L15/02 , G06F7/78 , G06F17/16 , G06F40/12 , G06F40/30 , G10L15/26 , G10L2015/025
Abstract: Proposed are a method and apparatus for speech recognition, and a storage medium. The specific solution includes: obtaining audio data to be recognized; decoding the audio data to obtain a first syllable of a to-be-converted word, in which the first syllable is a combination of at least one phoneme corresponding to the to-be-converted word; obtaining a sentence to which the to-be-converted word belongs and a converted word in the sentence, and obtaining a second syllable of the converted word; encoding the first syllable and the second syllable to generate first encoding information of the first syllable; and decoding the first encoding information to obtain a text corresponding to the to-be-converted word.
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公开(公告)号：US11750541B2
公开(公告)日：2023-09-05
申请号：US17215590
申请日：2021-03-29
Inventor： Chi Zhang
IPC: G06F15/16 , H04L51/04 , H04L51/23 , H04L51/224
CPC classification number: H04L51/04 , H04L51/23 , H04L51/224
Abstract: A method, apparatus, electronic device and medium for transmitting a live message are provided. An embodiment of the method executed by a client end may include: detecting periodically a status of a persistent connection with the service end; and in response to detecting that the persistent connection is in a disconnected status, re-establishing the persistent connection with the service end, and pulling a first-type message issued during disconnection of the persistent connection from the service end.
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817.发明授权
公开(公告)号：US11748986B2
公开(公告)日：2023-09-05
申请号：US17208684
申请日：2021-03-22
Inventor： Ruifeng Li , Lei Yuan , Xing Dai , Qinglin Qin , Zhuo Sun , Zhiqiang Liu
IPC: G06V20/40 , G06F18/214 , G06V20/62
CPC classification number: G06V20/46 , G06F18/214 , G06V20/635
Abstract: A method and an apparatus for recognizing a key identifier in a video, a device and a storage medium are disclosed. The method includes: extracting a plurality of key frames from the video; generating a mask of the key identifier by using a difference between the plurality of key frames; determining, in video frames of the video, a key identifier area image by using the mask; and recognizing the key identifier area image to obtain a key identifier category included in the video.
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818.发明授权
公开(公告)号：US11748108B2
公开(公告)日：2023-09-05
申请号：US17210616
申请日：2021-03-24
Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd. , Kunlunxin Technology (Beijing) Company Limited
Inventor： Yingnan Xu , Jian Ouyang , Xueliang Du , Kang An
CPC classification number: G06F9/3834 , G06F9/30087 , G06F9/3838
Abstract: Example embodiments of the present application provide an instruction executing method and apparatus, an electronic device, and a computer-readable storage medium that may be applied in the field of artificial intelligence. The instruction executing method may include: executing an instruction sequence that includes memory instructions and non-memory instructions, the instructions in the sequence executed starting to be executed in order; determining that execution of a first memory instruction needs to be completed before a second memory instruction starts to be executed, the second memory instruction being a next memory instruction following the first memory instruction in the instruction sequence; and executing non-memory instructions between the first memory instruction and the second memory instruction without executing the second memory instruction, during a cycle of executing the first memory instruction.
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公开(公告)号：US11741690B2
公开(公告)日：2023-08-29
申请号：US17247968
申请日：2021-01-04
Inventor： Yongshan Yan
CPC classification number: G06V10/774 , G06F18/217 , G06N20/00 , G06V20/56 , B60W30/06 , B60W2050/0075 , B60W2420/42 , B60W2552/53 , B60W2556/10
Abstract: The present disclosure discloses a method for generating a parking model, an electronic device and a storage medium, and relates a field of autonomous parking technologies. The detailed implementing solution includes: obtaining multiple sample sets; constructing a parking cruise space for the target vehicle based on each sample set, and extracting a first parking trajectory corresponding to each sample set from each parking cruise space; recognizing an abnormal position on each first parking trajectory, and deleting driving data corresponding to the abnormal position from a sample set corresponding to each first parking trajectory to obtain target sample data in each sample set; and performing model training based on the target sample data in each sample set to generate a target parking model.
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820.发明公开
公开(公告)号：US20230260131A1
公开(公告)日：2023-08-17
申请号：US18110231
申请日：2023-02-15
Inventor： Yanlong CHANG , Huaifei XING
CPC classification number: G06T7/12 , G06T7/13 , G06T7/0002 , G06V10/25 , G06V10/761 , G06F3/14 , G06T2207/30168
Abstract: Provided are an image processing method, an electronic device, and a non-transitory computer-readable storage medium. The implementation includes that: a segmentation position of a segmentation line in a display region is determined, a first partial image extracted from a first to-be-displayed image is displayed on a first side of the segmentation line according to the segmentation position, and a second partial image extracted from a second to-be-displayed image is displayed on a second side of the segmentation line according to the segmentation position, where the encoding manner of the first to-be-displayed image is different from that of the second to-be-displayed image; and the content of a synthesized image synthesized by the first partial image and the second partial image is the same as the image content of the first to-be-displayed image and the content of the synthesized image is the same as the image content of the second to-be-displayed image.
