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    TRAINING APPARATUS, CLASSIFICATION APPARATUS, TRAINING METHOD, CLASSIFICATION METHOD, AND PROGRAM
    1.
    发明公开
    TRAINING APPARATUS, CLASSIFICATION APPARATUS, TRAINING METHOD, CLASSIFICATION METHOD, AND PROGRAM 审中-公开

    公开(公告)号：US20240062525A1

    公开(公告)日：2024-02-22

    申请号：US18270764

    申请日：2021-12-03

    Applicant: NEC Corporation

    Inventor： Tsenjung TAI ,  Masato TODA ,  Eiji KANEKO ,  Kazutoshi SAGI

    IPC: G06V10/774 ,  G06V10/764 ,  G06V10/77 ,  G06V10/776

    CPC classification number: G06V10/774 ,  G06V10/764 ,  G06V10/7715 ,  G06V10/776 ,  G06V10/82

    Abstract: To provide an efficient training process even in a case where training images having a limited variation of shooting angles are available.
    Solution to Problem
    A training apparatus (10) comprises: feature extraction section (11) for extracting source domain feature values from input source domain image data and for extracting target domain feature values from input target domain image data; angle conversion section (12) for generating converted source domain feature values by converting the source domain feature values as if the converted source domain feature values are extracted from source domain image data having different angles from the input source domain image data, and generating converted target domain feature values by converting the target domain feature values as if the converted target domain feature values are extracted from target domain image data having different angles from the input target domain image data; class prediction section(13) for predicting source domain class prediction values from the source domain feature values and the converted source domain feature values, and predicting target domain class prediction values from the target domain feature values and the converted target domain feature values; and updating section (14) for updating at least one of (i) the feature extraction section, (ii) the angle conversion section, and (iii) the class prediction section.

    LEARNING DATA SET GENERATION DEVICE, LEARNING DATA SET GENERATION METHOD, AND RECORDING MEDIUM
    2.
    发明申请
    LEARNING DATA SET GENERATION DEVICE, LEARNING DATA SET GENERATION METHOD, AND RECORDING MEDIUM 有权

    公开(公告)号：US20210312327A1

    公开(公告)日：2021-10-07

    申请号：US17057916

    申请日：2018-05-28

    Applicant: NEC Corporation

    Inventor： Eiji KANEKO ,  Takahiro TOIZUMI ,  Kazutoshi SAGI ,  Masato TODA

    IPC: G06N20/00 ,  G06T5/00 ,  G06T5/50 ,  G06K9/00 ,  G06K9/62

    Abstract: Provided is to generate learning data set for learning a cloud correction processing method. A device includes: synthesis unit configured to have a more cloud image and a less cloud image including a same observation object as a set, and receive a first thick cloud area indicating a thick cloud in the more cloud image and a second thick cloud area indicating the thick cloud in the less cloud image; execute a first operation for the first and/or second thick cloud area to generate a first mask in the less cloud image; execute a second operation for the first and/or second thick cloud area to generate a second mask in the more cloud image; and adopt, as learning data, the set including data including the generated first mask and the more cloud image and data including the generated second mask and the less cloud image.

    LEARNING DEVICE, LEARNING METHOD, AND STORAGE MEDIUM
    3.
    发明申请
    LEARNING DEVICE, LEARNING METHOD, AND STORAGE MEDIUM 有权

    公开(公告)号：US20210081721A1

    公开(公告)日：2021-03-18

    申请号：US16772035

    申请日：2017-12-14

    Applicant: NEC Corporation

    Inventor： Kazutoshi SAGI ,  Takahiro TOIZUMI ,  Yuzo SENDA

    IPC: G06K9/62 ,  G06K9/46

    Abstract: A learning device comprises: an acquisition unit that acquires a first feature amount derived by an encoder from data with an identification object recorded therein, the encoder being configured so as to derive, from data with the identical object in various forms recorded therein, feature amounts which are mutually convertible by a conversion using a conversion parameter that takes a value according to the difference in the forms; a conversion unit that generates a second feature amount by performing a conversion on the first feature amount using the conversion parameter value; and a parameter updating unit that updates the value of a sorting parameter used in sorting by a sorting means, which is configured to sort second feature amounts as input, such that if the second feature amount has been input, the sorting means outputs a result indicating, as a sorting destination, a class associated with the identification object.

    LEARNING APPARATUS, INFORMATION INTEGRATION SYSTEM, LEARNING METHOD, AND RECORDING MEDIUM
    6.
    发明申请
    LEARNING APPARATUS, INFORMATION INTEGRATION SYSTEM, LEARNING METHOD, AND RECORDING MEDIUM 有权

    公开(公告)号：US20220405534A1

    公开(公告)日：2022-12-22

    申请号：US17772793

    申请日：2020-03-03

    Applicant: NEC Corporation

    Inventor： Eiji KANEKO ,  Azusa SAWADA ,  Kazutoshi SAGI

    IPC: G06K9/62 ,  G06N20/00

    Abstract: A prediction unit classifies input data into a plurality of classes using a predictive model, and outputs a predicted probability for each class as a prediction result. A grouping unit generates a grouped class formed by k classes within top k predicted probabilities, and calculates a predicted probability of the grouped class. A loss calculation unit calculates a loss based on predicted probabilities of a plurality of classes including the grouped class. A model update unit updates the predictive model based on the calculated loss.

    IDENTIFICATION DEVICE, IDENTIFICATION METHOD, AND STORAGE MEDIUM
    8.
    发明申请
    IDENTIFICATION DEVICE, IDENTIFICATION METHOD, AND STORAGE MEDIUM 有权

    公开(公告)号：US20210224600A1

    公开(公告)日：2021-07-22

    申请号：US16769135

    申请日：2017-12-14

    Applicant: NEC CORPORATION

    Inventor： Takahiro TOIZUMI ,  Kazutoshi SAGI ,  Yuzo SENDA

    IPC: G06K9/62 ,  G06T7/73

    Abstract: An identification device according to one embodiment comprises: an acquisition unit that uses an encoder configured to derive, from data in which a single subject under different conditions has been recorded, feature values as a first feature value derived from data in which a subject to be identified has been recorded; a conversion unit that generates a second feature value by carrying out conversion using the conversion parameter on the first feature value; a discrete classification unit that carries out discrete classification on each of a plurality of third feature values including the second feature value and generates a plurality of discrete classification results indicating the results of the classification; a result derivation unit that derives, on the basis of the plurality of discrete classification results, identification result information; and an output unit that outputs the identification result information.

    LEARNING DEVICE, LEARNING METHOD, AND STORAGE MEDIUM
    9.
    发明申请
    LEARNING DEVICE, LEARNING METHOD, AND STORAGE MEDIUM 有权

    公开(公告)号：US20210073586A1

    公开(公告)日：2021-03-11

    申请号：US16772057

    申请日：2017-12-14

    Applicant: NEC Corporation

    Inventor： Kazutoshi SAGI ,  Takahiro TOIZUMI ,  Yuzo SENDA

    IPC: G06K9/62 ,  G01S13/90

    Abstract: Provided is a learning device that can generate a feature deriving device capable of deriving, for an identical object, feature amounts which respectively express a feature of the object in different forms and which are mutually related. This learning device comprises: an acquisition unit that acquires first data and second data, with different forms of the object recorded therein; an encoder that derives a first feature amount from the first data; a conversion unit that converts the first feature amount to a second feature amount; a decoder that generates third data from the second feature amount; and a parameter updating unit that updates, on the basis of a comparison between the second data and the third data, the value of a parameter used in the derivation of the first feature amount, and the value of a parameter used in the generation of the third data.

    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND STORAGE MEDIUM
    10.
    发明申请
    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND STORAGE MEDIUM 审中-公开

    公开(公告)号：US20200265562A1

    公开(公告)日：2020-08-20

    申请号：US16644560

    申请日：2017-09-08

    Applicant: NEC Corporation

    Inventor： Madhuri Mahendra NAGARE ,  Hirofumi AOKI ,  Kazutoshi SAGI

    IPC: G06T5/00 ,  G06T7/12

    Abstract: An image processing device which is capable of accurately detect pixels covered by cloud shadows and remove effects of the cloud shadows in an images are provided. The device includes: a cloud transmittance calculation unit that calculates transmittance of the one or more clouds in an input image, for each pixel; a cloud height estimation unit that determines estimation of a height from the ground to each cloud in the input image to detect position of corresponding one or more shadows; an attenuation factor estimation unit that calculates attenuation factors for the direct sun irradiance by applying an averaging filter to the cloud transmittance calculated; and a shadow removal unit that corrects pixels affected by the one or more shadows, based on a physical model of a cloud shadow formation by employing the attenuation factors calculated and the position, and outputs an image which includes the pixels corrected.

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