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公开(公告)号：US11508147B2
公开(公告)日：2022-11-22
申请号：US16812154
申请日：2020-03-06
申请人： Google LLC
发明人： Jonathon Shlens , Vijay Vasudevan , Jiquan Ngiam , Wei Han , Zhifeng Chen , Brandon Chauloon Yang , Benjamin James Caine , Zhengdong Zhang , Christoph Sprunk , Ouais Alsharif , Junhua Mao , Chen Wu
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.
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公开(公告)号：US20220207321A1
公开(公告)日：2022-06-30
申请号：US17139525
申请日：2020-12-31
申请人： Google LLC
发明人： Anmol Gulati , Ruoming Pang , Niki Parmar , Jiahui Yu , Wei Han , Chung-Cheng Chiu , Yu Zhang , Yonghui Wu , Shibo Wang , Weikeng Qin , Zhengdong Zhang
摘要： Systems and methods can utilize a conformer model to process a data set for various data processing tasks, including, but not limited to, speech recognition, sound separation, protein synthesis determination, video or other image set analysis, and natural language processing. The conformer model can use feed-forward blocks, a self-attention block, and a convolution block to process data to learn global interactions and relative-offset-based local correlations of the input data.
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公开(公告)号：US20220383076A1
公开(公告)日：2022-12-01
申请号：US17828778
申请日：2022-05-31
申请人： Google LLC
发明人： Jonathon Shlens , Vijay Vasudevan , Jiquan Ngiam , Benjamin James Caine , Zhengdong Zhang , Zhifeng Chen , Hao-Tien Chiang , David Joseph Weiss , Jeffrey Ling , Ashish Venugopal
IPC分类号： G06N3/04
摘要： A method for performing one or more tasks, wherein each of the one or more tasks includes predicting behavior of one or more agents in an environment, the method comprising: obtaining a three-dimensional (3D) input tensor representing behaviors of the one or more agents in the environment across a plurality of time steps; generating an encoded representation of the 3D input tensor by processing the 3D input tensor using an encoder neural network, wherein 3D input tensor comprises a plurality of observed cells and a plurality of masked cells; and processing the encoded representation of the 3D input tensor using a decoder neural network to generate a 4D output tensor.
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公开(公告)号：US20210279465A1
公开(公告)日：2021-09-09
申请号：US16812154
申请日：2020-03-06
申请人： Google LLC
发明人： Jonathon Shlens , Vijay Vasudevan , Jiquan Ngiam , Wei Han , Zhifeng Chen , Brandon Chauloon Yang , Benjamin James Caine , Zhengdong Zhang , Christoph Sprunk , Ouais Alsharif , Junhua Mao , Chen Wu
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.
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公开(公告)号：US20240362453A1
公开(公告)日：2024-10-31
申请号：US18766038
申请日：2024-07-08
申请人： Google LLC
发明人： Anmol Gulati , Weikeng Qin , Zhengdong Zhang , Ruoming Pang , Niki Parmar , Jiahui Yu , Wei Han , Chung-Cheng Chiu , Yu Zhang , Yonghui Wu , Shibo Wang
摘要： Systems and methods can utilize a conformer model to process a data set for various data processing tasks, including, but not limited to, speech recognition, sound separation, protein synthesis determination, video or other image set analysis, and natural language processing. The conformer model can use feed-forward blocks, a self-attention block, and a convolution block to process data to learn global interactions and relative-offset-based local correlations of the input data.
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公开(公告)号：US12079703B2
公开(公告)日：2024-09-03
申请号：US17139525
申请日：2020-12-31
申请人： Google LLC
发明人： Anmol Gulati , Ruoming Pang , Niki Parmar , Jiahui Yu , Wei Han , Chung-Cheng Chiu , Yu Zhang , Yonghui Wu , Shibo Wang , Weikeng Qin , Zhengdong Zhang
摘要： Systems and methods can utilize a conformer model to process a data set for various data processing tasks, including, but not limited to, speech recognition, sound separation, protein synthesis determination, video or other image set analysis, and natural language processing. The conformer model can use feed-forward blocks, a self-attention block, and a convolution block to process data to learn global interactions and relative-offset-based local correlations of the input data.
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公开(公告)号：US20220415042A1
公开(公告)日：2022-12-29
申请号：US17901224
申请日：2022-09-01
申请人： Google LLC
发明人： Jonathon Shlens , Vijay Vasudevan , Jiquan Ngiam , Wei Han , Zhifeng Chen , Brandon Chauloon Yang , Benjamin James Caine , Zhengdong Zhang , Christoph Sprunk , Ouais Alsharif , Junhua Mao , Chen Wu
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.
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公开(公告)号：US11774596B2
公开(公告)日：2023-10-03
申请号：US17901224
申请日：2022-09-01
申请人： Google LLC
发明人： Jonathon Shlens , Vijay Vasudevan , Jiquan Ngiam , Wei Han , Zhifeng Chen , Brandon Chauloon Yang , Benjamin James Caine , Zhengdong Zhang , Christoph Sprunk , Ouais Alsharif , Junhua Mao , Chen Wu
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.
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