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公开(公告)号：US11995154B2
公开(公告)日：2024-05-28
申请号：US17901403
申请日：2022-09-01
Inventor： Yongqing Wang
CPC classification number: G06F18/23 , G06V10/757
Abstract: A method of determining a state of a target object, an electronic device, and a storage medium, relate to fields of a computer technology, cloud computing and Internet of things, and apply to smart cities. The method includes: receiving a transmitted first moving point sequence for the target object, the first moving point sequence including a plurality of target moving point elements, and each target moving point element containing a timestamp information and a displacement information that indicate a stay state of the target object; determining, from the first moving point sequence, a target stay point of the target object, according to the timestamp information and the displacement information; and determining that the state of the target object at the target stay point is an abnormal stay state, in response to a distance between the target stay point and a first preset position being less than a first preset threshold.
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352.发明授权公开(公告)号：US11989516B2
公开(公告)日：2024-05-21
申请号：US17572068
申请日：2022-01-10
Inventor： Lijie Wang , Shuai Zhang , Xinyan Xiao , Yue Chang , Tingting Li
IPC: G06F40/289 , G06N20/00
CPC classification number: G06F40/289 , G06N20/00
Abstract: The present disclosure provides a method and apparatus for acquiring a pre-trained model, an electronic device and a storage medium, and relates to the field of artificial intelligence, such as the natural language processing field, the deep learning field, or the like. The method may include: adding, in a process of training a pre-trained model using training sentences, a learning objective corresponding to syntactic information for a self-attention module in the pre-trained model; and training the pre-trained model according to the defined learning objective. The solution of the present disclosure may improve a performance of the pre-trained model, and reduce consumption of computing resources, or the like.
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353.发明授权公开(公告)号：US11929871B2
公开(公告)日：2024-03-12
申请号：US17718149
申请日：2022-04-11
Inventor： Cheng Cui , Tingquan Gao , Shengyu Wei , Yuning Du , Ruoyu Guo , Bin Lu , Ying Zhou , Xueying Lyu , Qiwen Liu , Xiaoguang Hu , Dianhai Yu , Yanjun Ma
IPC: G06K9/62 , G06F18/214 , H04L41/0806 , H04L41/084 , H04L41/0894
CPC classification number: H04L41/0806 , G06F18/214 , H04L41/0846 , H04L41/0894
Abstract: The present disclosure provides a method for generating a backbone network, an apparatus for generating a backbone network, a device, and a storage medium. The method includes: acquiring a set of a training image, a set of an inference image, and a set of an initial backbone network; training and inferring, for each initial backbone network in the set of the initial backbone network, the initial backbone network by using the set of the training image and the set of the inference image, to obtain an inference time and an inference accuracy of a trained backbone network in an inference process; determining a basic backbone network based on the inference time and the inference accuracy of the trained backbone network in the inference process; and obtaining a target backbone network based on the basic backbone network and a preset target network.
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公开(公告)号：US20240071102A1
公开(公告)日：2024-02-29
申请号：US18092518
申请日：2023-01-03
Inventor： Bin WU , Kai ZHONG , Tongbin ZHANG , Jianzhong YANG , Zhen LU , Deguo XIA , Jizhou HUANG
CPC classification number: G06V20/588 , G06V10/26 , G06V10/42 , G06V10/44 , G06V10/751 , G06V10/806
Abstract: Provided are a lane line recognition method, an electronic device and a storage medium, relating to a technical field of artificial intelligence, in particular to technical fields of intelligent transportation, automatic driving and deep learning. The lane line recognition method includes: extracting a basic feature of an original image; recognizing at least one lane line node in the original image by using the basic feature of the original image; extracting a local feature from the basic feature of the original image by using the at least one lane line node; fusing the basic feature and the local feature; and recognizing a lane line in the original image based on a fused result.
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355.发明授权公开(公告)号：US11915439B2
公开(公告)日：2024-02-27
申请号：US17353634
申请日：2021-06-21
Inventor： Xiaoqing Ye , Hao Sun
CPC classification number: G06T7/55 , G06N3/08 , G06T7/174 , G06T7/70 , G06T11/60 , G06T2207/20081 , G06T2207/20084
Abstract: The present disclosure provides a method of training a depth estimation network, which relates to fields of computer vision, deep learning, and image processing technology. The method includes: performing a depth estimation on an original image by using a depth estimation network, so as to obtain a depth image for the original image; removing a moving object from the original image so as to obtain a preprocessed image for the original image; estimating a pose based on the original image and modifying the pose based on the preprocessed image; and adjusting parameters of the depth estimation network according to the original image, the depth image and the pose modified. The present disclosure further provides an apparatus of training a depth estimation network, a method and apparatus of estimating a depth of an image, an electronic device, and a storage medium.
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Patent Agency Ranking
公开(公告)号：US11907671B2
公开(公告)日：2024-02-20
申请号：US17450595
申请日：2021-10-12
Inventor： Zhenglin Pan , Jie Bai , Yi Wang
IPC: G06F40/35 , G06F16/33 , G06F16/35 , G06F40/279
CPC classification number: G06F40/35 , G06F16/3334 , G06F16/35 , G06F40/279
Abstract: The disclosure provides a role labeling method. The method includes: obtaining a dialogue sentence to be labeled and context information corresponding to the dialogue sentence, and splicing the context information and the dialogue sentence to obtain a spliced text; extracting location information of a role name of the dialogue sentence in the spliced text from the spliced text; determining a first candidate role name of the dialogue sentence based on the location information; determining a second candidate role name of the dialogue sentence from role names in the spliced text; and determining a target role name of the dialogue sentence based on the first candidate role name and the second candidate role name, and performing role labeling on the dialogue sentence based on the target role name.
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357.发明授权公开(公告)号：US11902346B2
公开(公告)日：2024-02-13
申请号：US17975677
申请日：2022-10-28
Inventor： Shuo Li , Xuechao Wei , Yonggao Fu , Jiabing Leng , Yawen Liu , Mingfa Zhu , Feng Huang
IPC: H04L65/61 , H04L65/1073
CPC classification number: H04L65/61 , H04L65/1073
Abstract: The present disclosure provides a method and apparatus for processing a streaming media service, an electronic device, and a storage medium, and relates to the technical field of computers, particularly to technical fields such as industrial vision, deep learning, streaming media, and information flow. A specific implementation solution involves: acquiring registration information of an input source, the registration information including process information of a streaming media service process of the input source and streaming media address information of the input source; enabling the streaming media service process according to the process information; and controlling, by using the streaming media address information, the streaming media service process to process streaming media data of the input source.
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公开(公告)号：US20240046140A1
公开(公告)日：2024-02-08
申请号：US18193916
申请日：2023-03-31
Inventor： Yuxuan WANG , Lijing JIN
Abstract: Provided is a simulation method, electronic device, and storage medium relating to the field quantum computers and quantum simulation. The simulation method can include obtaining a first normal mode frequency of a first target device with adjustable frequency among at least two devices of a quantum chip layout through simulation; determining resonance-related information of the first target device and a second target device in a resonant state among the at least two devices; where the second target device is a device with adjustable or non-adjustable frequency among the at least two devices; and obtaining a target coupling strength between the first and second target devices based on the first normal mode frequency of the first target device and the resonance-related information.
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359.发明授权公开(公告)号：US11893977B2
公开(公告)日：2024-02-06
申请号：US17530276
申请日：2021-11-18
Inventor： Zhijian Wang , Sheng Qian , Qi Zhang
IPC: G10L15/183 , G10L15/00 , G10L15/32
CPC classification number: G10L15/005 , G10L15/183 , G10L15/32
Abstract: A method for recognizing a Chinese-English mixed speech, includes: determining pronunciation information and scores of a language model, of speech information, in response to receiving the speech information; determining whether an English word exists in content of the speech information based on the pronunciation information; determining a Chinese word corresponding to the English word based on a preset Chinese-English mapping table in response to the English word existing in the content of the speech information, in which the Chinese-English mapping table includes a mapping relationship of at least one pair of English word and Chinese word; determining a score of the Chinese word corresponding to the English word; replacing a score of the English word in the scores of the language model with the score of the Chinese word; and obtaining a speech recognition result for the speech information based on the replaced scores of the language model.
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公开(公告)号：US11893708B2
公开(公告)日：2024-02-06
申请号：US17505889
申请日：2021-10-20
Inventor： Jian Wang , Xiang Long , Hao Sun , Zhiyong Jin , Errui Ding
IPC: G06K9/00 , G06T3/40 , G06F18/213 , G06F18/25 , G06N3/045
CPC classification number: G06T3/4046 , G06F18/213 , G06F18/253 , G06N3/045
Abstract: Provided are an image processing method and apparatus, a device, and a storage medium, relating to the technical field of image processing, in particular to the artificial intelligence fields such as computer vision and deep learning. The specific implementation scheme is as follows: inputting a to-be-processed image into an encoding network to obtain a basic image feature, wherein the encoding network includes at least two cascaded overlapping encoding sub-networks which perform encoding and fusion processing on input data at at least two resolutions; and inputting the basic image feature into a decoding network to obtain a target image feature for pixel point classification, wherein the decoding network includes at least one cascaded overlapping decoding sub-network to perform decoding and fusion processing on input data at at least two resolutions respectively.
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