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21.发明申请公开(公告)号：US20220398766A1
公开(公告)日：2022-12-15
申请号：US17891337
申请日：2022-08-19
Inventor： Yasunori ISHII , Satoshi SATO
Abstract: An information processing method is executed by a computer and includes: obtaining a third model in which a first model which is a machine learning model that performs a deblurring process of an input image and outputs a feature quantity and a second model which is a machine learning model that performs an object recognition process of the input image and outputs a result of the object recognition are connected so that an output of the first model becomes an input of the second model; training the third model through machine learning so that a difference between a result of object recognition that is output from the third model after a training image with blur is input into the third model and reference data relating to the result of the object recognition corresponding to the training image decreases; and outputting the third model which has undergone the training.
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22.发明申请公开(公告)号：US20220292370A1
公开(公告)日：2022-09-15
申请号：US17828464
申请日：2022-05-31
Inventor： Yasunori ISHII , Yohei NAKATA , Tomoyuki OKUNO
IPC: G06N5/02
Abstract: An information processing includes: obtaining first data belonging to a first type and second data belonging to a second type different from the first type; calculating a first prediction result by inputting the first data into a first prediction model; calculating a second prediction result by inputting the first data into the second prediction model; calculating a third prediction result by inputting the second data into the second prediction model; calculating a first error between the first prediction result and the second prediction result; calculating a second error between the second prediction result and the third prediction result; and training the second prediction model by machine learning, based on the first error and the second error.
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公开(公告)号：US20220207857A1
公开(公告)日：2022-06-30
申请号：US17553137
申请日：2021-12-16
Inventor： Yasunori ISHII , Satoshi SATO , Kunio NOBORI
Abstract: A control device includes a parameter acquisition unit that acquires an augmentation parameter regarding geometric augmentation or optical augmentation of training data to be used for training a machine learning model, a display controller that causes a display device to display an image based on the augmentation parameter, an imaging controller that causes an imaging device to capture the displayed image, and an output unit that outputs the captured image obtained by the imaging device as the training data.
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公开(公告)号：US20210192348A1
公开(公告)日：2021-06-24
申请号：US17194657
申请日：2021-03-08
Inventor： Yasunori ISHII , Ryota FUJIMURA , Sotaro TSUKIZAWA
Abstract: In the information processing method, first data is input into a discriminator to obtain first discrimination result data; second data is input into the discriminator to obtain second discrimination result data; a first difference between reference data and the first discrimination result data is calculated; a first squared error data and a first weight are calculated based on the first difference; a second difference between reference data and the second discrimination result data is calculated; a second squared error data and a second weight are calculated based on the second difference; and the discriminator is trained based on the first squared error data, the second squared error data, the first weight, and the second weight. The first discrimination result data and the second discrimination result data are data of a tensor having a rank of one or higher.
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公开(公告)号：US20200084419A1
公开(公告)日：2020-03-12
申请号：US16560313
申请日：2019-09-04
Inventor： Yuta SHIMOTSUMA , Takahiro YONEDA , Yasunori ISHII
Abstract: A video transmitting device is to be provided in a vehicle and includes a first acquiring unit that acquires first video information from an imaging unit that captures images of the surroundings of the vehicle, a risk map creating unit that creates a risk map indicating a risk region in traveling of the vehicle, a video creating unit that creates second video information having a data amount smaller than a data amount of the first video information on the basis of the risk map, and a communication unit that transmits the second video information to a remote monitoring device for remotely monitoring the vehicle.
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Patent Agency Ranking
公开(公告)号：US20190236353A1
公开(公告)日：2019-08-01
申请号：US16257157
申请日：2019-01-25
Inventor： Yohei NAKATA , Yasunori ISHII
CPC classification number: G06K9/00536 , G06N3/08 , G06N3/082 , G06N5/04 , G06N20/00
Abstract: An information processing method including the following executed using a computer: obtaining a neural network model that solves a regression problem; obtaining input data and label data corresponding to the input data; compressing a network of the neural network model to obtain a compressed model; transforming the regression problem to be solved by the neural network model into a classification problem, based on information indicating performance of the compressed model, the information being calculated using the label data and output data which is obtained by inputting the input data to the compressed model; and changing a network configuration of the neural network model and transforming the label data, in accordance with the transformation from the regression problem to the classification problem.
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公开(公告)号：US20170289582A1
公开(公告)日：2017-10-05
申请号：US15622126
申请日：2017-06-14
Inventor： Mayu YOKOYA , Katsuyoshi YAMAGAMI , Yasunori ISHII
IPC: H04N21/233
Abstract: A method is provided for controlling an operation of a target device using a plurality of input devices, including a speech input device. The method includes acquiring, from the speech input device, speech information, including i) environmental sound around the speech input device, and ii) a speech instruction indicating an operation to be performed on the target device. The method also includes calculating a level of noise included in the speech information, and recognizing the operation. The method further includes informing a user of a second input device as a recommended input device based on the calculated noise level and the recognized operation instruction, wherein the second input device does not include a speech input device.
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公开(公告)号：US20240045636A1
公开(公告)日：2024-02-08
申请号：US18381420
申请日：2023-10-18
Inventor： Satoshi SATO , Yasunori ISHII , Kunio NOBORI
CPC classification number: G06F3/14 , G06V10/761 , G09G5/373 , G09G2340/04
Abstract: An imaging control device includes an image acquiring part that acquires a first training image of a machine learning model, a display control part that causes a display device to display the first training image based on a distance between the display device and an imaging device that acquires a blurred image, an imaging control part that causes the imaging device to capture the first training image to acquire a second training image, and a storage control part that stores a data set including a set of the second training image and correct answer information. The display control part changes, when the distance is changed, a display size of the first training image so that a size of the second training image acquired by the imaging device is maintained. The imaging control part causes the imaging device to capture the first training image when the distance is changed.
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公开(公告)号：US20230353870A1
公开(公告)日：2023-11-02
申请号：US18220107
申请日：2023-07-10
Inventor： Yasunori ISHII , Satoshi SATO , Kunio NOBORI
CPC classification number: H04N23/67 , G06T7/50 , G02B5/005 , G06T2207/20081 , G06T2207/30196
Abstract: A control device includes: an image acquisition unit that acquires an image obtained by imaging by an imaging device in which a mask having a plurality of pinholes is arranged so as to cover a light receiving surface of an imaging element; a control unit that controls at least one of a size and an interval of two pinholes among the plurality of pinholes based on the image; and an output unit that outputs an image obtained by the imaging device after at least one of the size and the interval of the two pinholes is controlled.
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30.发明申请公开(公告)号：US20230134491A1
公开(公告)日：2023-05-04
申请号：US18089103
申请日：2022-12-27
Inventor： Satoshi SATO , Yasunori ISHII
Abstract: Provided is a learning device that acquires computational imaging information of a computational imaging camera that captures an image with blurring; acquires a normal image captured by a normal camera that captures an image without blurring or an image with blurring smaller than that of the computational imaging camera, and a correct answer label assigned to the normal image; generates an image with blurring based on the computational imaging information and the normal image; and performs machine learning using the image with blurring and the correct answer label to create an image identification model for identifying an image captured by the computational imaging camera.
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