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公开(公告)号：US20240175702A1
公开(公告)日：2024-05-30
申请号：US18552608
申请日：2022-03-30
Inventor： Taozheng YANG , Tao KONG , Lei LI
IPC: G01C21/00
CPC classification number: G01C21/38
Abstract: Provided are a navigation method and apparatus, a storage medium, and a device. The method includes the steps below. A global planning path in a target map is determined according to a current position of a robot and an end position in a navigation request. An initial local path corresponding to the global planning path is determined based on a local planning range. The local planning range corresponds to the boundary of a local costmap. The local costmap includes obstacle information within the local planning range. A local planning path corresponding to the initial local path is generated according to the initial local path and the local costmap. A navigation control instruction of the robot is generated according to the local planning path and a preset robot model corresponding to the robot.
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2.发明公开公开(公告)号：US20240296283A1
公开(公告)日：2024-09-05
申请号：US18259210
申请日：2021-12-10
Inventor： Yang WEI , Ying XIONG , Xiaohui WANG , Mingxuan WANG , Lei LI
IPC: G06F40/279 , G06F18/213
CPC classification number: G06F40/279 , G06F18/213
Abstract: A quantization method and apparatus for a text feature extraction model, and a device and a storage medium. The method includes: in a training process of a text feature extraction model, determining, according to a target quantization parameter, a quantization interval corresponding to the target quantization parameter, where the quantization interval includes a part of floating-point values of the target quantization parameter; constructing a mapping relationship between floating-point values and fixed-point values of the target quantization parameter based on the quantization interval, where a floating-point value smaller than a left end point of the quantization interval—is mapped to a quantized minimum fixed-point value, and a floating-point values larger than a right end point of the quantization interval is mapped to a quantized maximum fixed-point value; and performing a quantization operation on the target quantization parameter based on the mapping relationship.
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3.发明公开公开(公告)号：US20240037349A1
公开(公告)日：2024-02-01
申请号：US18255790
申请日：2021-11-17
Inventor： Chengqi ZHAO , Jianze LIANG , Mingxuan WANG , Lei LI
Abstract: Provided are a model training method and apparatus, a machine translation method and apparatus, a device, and a storage medium. The model training method includes the steps described below. Through a neural network pruning technique, a respective influence degree of each parameter in multiple parameters in a first translation model on a translation result in a first field is determined to obtain at least one first parameter and at least one second parameter. By using the first corpus of the first field, the at least one first parameter is trained obtain the second translation model, and the at least one second parameter remains unchanged. Similarity between a translation result of the second translation model in the first field and a translation result of the first translation model in the first field meets a preset condition.
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公开(公告)号：US20230394671A1
公开(公告)日：2023-12-07
申请号：US18251228
申请日：2021-09-27
CPC classification number: G06T7/11 , G06T3/40 , G06T2207/20221
Abstract: Provided are an image segmentation method and apparatus, a device, and a storage medium. The image segmentation method includes: fusing a visual feature corresponding to an original image with a text feature corresponding to a description language to obtain a multimodal feature, where the description language is used for specifying a target object to be segmented in the original image; determining a visual region of the target object according to an image corresponding to the multimodal feature and recording an image corresponding to the visual region as a response heat map; and determining a segmentation result of the target object according to the image corresponding to the multimodal feature and the response heat map.
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公开(公告)号：US20240370663A1
公开(公告)日：2024-11-07
申请号：US18562946
申请日：2022-05-12
Inventor： Shanbo CHENG , Mingxuan WANG , Lei LI
IPC: G06F40/40
Abstract: A translation method, a translation apparatus, a translation device, and a storage medium are provided. The method includes: firstly, determining the second source sentence semantically similar to the first source sentence, then determining the target source word used in both of the first source sentence and the second source sentence, and if translated words for the target source word in the first source sentence and the second source sentence are different, determining the target translated word for the target source word according to the probability of the target source word being translated into the first translated word or the second translated word. Thus, the translation method uses not only the information of a second translated sentence for the second source sentence but also the information of the second source sentence. The translation of the first source sentence is corrected according to the information of similar words.
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Patent Agency Ranking
公开(公告)号：US20240249430A1
公开(公告)日：2024-07-25
申请号：US18566500
申请日：2022-05-27
Inventor： Minzhao ZHU , Tao KONG , Lei LI
CPC classification number: G06T7/73 , G01C21/005 , G06T2207/10028
Abstract: The present disclosure relates to a localization method and apparatus, an electronic device, and a storage medium. The localization method comprises: acquiring a target local semantic point cloud map, a global semantic grid map, and a laser point cloud map; performing pose identification on the basis of the target local semantic point cloud map and the global semantic grid map to obtain a set of candidate poses; and determining a target pose according to the laser point cloud map and the set of candidate poses.
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公开(公告)号：US20240273295A1
公开(公告)日：2024-08-15
申请号：US18567634
申请日：2022-07-04
Inventor： Yijun WANG , Changzhi SUN , Hao ZHOU , Lei LI
IPC: G06F40/295 , G06F16/35
CPC classification number: G06F40/295 , G06F16/35
Abstract: The present disclosure relates to an information obtaining method and apparatus, a device, and a medium. The method includes setting a label table corresponding to each sample sentence in a sample set, wherein row characters and column characters in the label table are set identically in accordance with an order of characters of the corresponding sample sentence; and marking cells composed of the row characters and the column characters in the label table with corresponding information category labels; taking each sample sentence in the sample set as input information to a model to be trained and the label table corresponding to each sample sentence as output information of the model to be trained, and performing model training according to a preset target function; and generating an information extraction model based on parameters of the trained model to extract target sentence information by the information extraction model.
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公开(公告)号：US20240265214A1
公开(公告)日：2024-08-08
申请号：US18565946
申请日：2022-07-26
Inventor： Zewei SUN , Mingxuan WANG , Lei LI
Abstract: Embodiments of the present disclosure relate to a translation processing method and apparatus, a device and a medium. The method comprises: generating a multilingual representation model by training according to a monolingual corpus of each language among a plurality of languages, and generating a multilingual generation model according to the monolingual corpus of each language; concatenating the multilingual representation model and the multilingual generation model with a first translation model respectively to generate a target model to be trained; and generating a second translation model by training the target model according to a bilingual corpus among the plurality of languages, and performing translation processing on target information to be processed, according to the second translation model.
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公开(公告)号：US20240078387A1
公开(公告)日：2024-03-07
申请号：US18262508
申请日：2022-01-24
Inventor： Jiangtao FENG , Jiaze CHEN , Hao ZHOU , Lei LI
IPC: G06F40/289
CPC classification number: G06F40/289
Abstract: A text chain generation method includes selecting a to-be-matched phrase chain from a phrase chain set to match the initial phrase chain and determining the largest common subsequence between the to-be-matched phrase chain and the initial phrase chain; updating the initial phrase chain by adding a word from the to-be-matched phrase chain and other than the largest common subsequence into the initial phrase chain; using the updated initial phrase chain as a new initial phrase chain and repeating the previous steps until traversing all phrase chains in the phrase chain set to obtain an updated phrase chain; and connecting a left node located in each branch of the updated phrase chain and not connected to any node to a preset common start node and connecting a right node located in each branch of the updated phrase chain and not connected to any node to a preset common end node.
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公开(公告)号：US20240062253A1
公开(公告)日：2024-02-22
申请号：US18260180
申请日：2021-12-29
Inventor： Jiangtao FENG , Han LI , Jiaze CHEN , Yunbo CHEN , Hao ZHOU , Lei LI
IPC: G06Q30/0241 , G06N3/0442 , G06Q30/0251
CPC classification number: G06Q30/0276 , G06N3/0442 , G06Q30/0251
Abstract: Provided are an advertisement title rewriting method, apparatus and device and a storage medium. The method includes steps described below. Preset information in an advertisement title is replaced with a corresponding placeholder so that the advertisement title is converted into a title template; a rewritten title template is generated through a preset neural network model according to the title template, an advertisement attribute key-value table and a query cluster; and the placeholder in the rewritten title template is replaced with the corresponding preset information so that the rewritten title template is converted into a rewritten title.
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