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    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM STORING PROGRAM
    2.
    发明申请
    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM STORING PROGRAM 有权

    公开(公告)号：US20210012138A1

    公开(公告)日：2021-01-14

    申请号：US16976639

    申请日：2019-03-27

    Applicant: NEC CORPORATION

    Inventor： Katsuhiko KONDOH ,  Satoshi SEGAWA ,  Yuichi NAKATANI ,  Michiru SUGIMOTO ,  Yasushi HIDAKA ,  Junya AKIYAMA

    IPC: G06K9/46 ,  G06K9/00

    Abstract: An image processing device including: a first feature quantity selecting unit configured to select a first feature quantity of a document image that is a character recognition target among first feature quantities that are recoded in advance and represent features of character strings of an item; a character recognition processing unit configured to perform a character recognition process for the document image; a character string selecting unit configured to select a character string of a specific item corresponding to the first feature quantity among the character strings acquired as a result of the character recognition process; and a determination result acquiring unit configured to acquire a determination result indicating whether or not a character string that has been input in advance matches the character string of the specific item in a case in which the character string selecting unit has not selected any one of the character strings.

    OBJECT DETECTION DEVICE, LEARNED MODEL GENERATION METHOD, AND RECORDING MEDIUM
    3.
    发明公开
    OBJECT DETECTION DEVICE, LEARNED MODEL GENERATION METHOD, AND RECORDING MEDIUM 审中-公开

    公开(公告)号：US20230334837A1

    公开(公告)日：2023-10-19

    申请号：US18026631

    申请日：2020-09-24

    Applicant: NEC Corporation

    Inventor： Katsuhiko TAKAHASHI ,  Yuichi NAKATANI ,  Tetsuo INOSHITA ,  Asuka ISHII

    IPC: G06V10/776 ,  G06V10/74

    CPC classification number: G06V10/776 ,  G06V10/761

    Abstract: In an object detection device, the plurality of object detection units output a score indicating a probability that a predetermined object exists for each partial region set with respect to inputted image data. The weight computation unit uses weight computation parameters to compute a weight for each of the plurality of object detection units on a basis of the image data and outputs of the plurality of object detection units, the weight being used when the scores outputted by the plurality of object detection units are merged. The merging unit merges the scores outputted by the plurality of object detection units for each partial region according to the weights computed by the weight computation unit. The first loss computation unit computes a difference between a ground truth label of the image data and the score merged by the merging unit as a first loss. Then, the first parameter correction unit corrects the weight computation parameters so as to reduce the first loss.

    OBJECT SENSING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
    4.
    发明申请
    OBJECT SENSING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM 有权

    公开(公告)号：US20220277552A1

    公开(公告)日：2022-09-01

    申请号：US17624906

    申请日：2019-07-11

    Applicant: NEC Corporation

    Inventor： Katsuhiko TAKAHASHI ,  Yuichi NAKATANI ,  Tetsuo INOSHITA ,  Asuka ISHII ,  Gaku NAKANO

    IPC: G06V10/776 ,  G06V10/22 ,  G06V10/80

    Abstract: In an object detection device, a plurality of object detection units output a score indicating the probability that a predetermined object exists for each partial region set with respect to inputted image data. On the basis of the image data, a weight computation unit uses weight computation parameters to compute weights for each of the plurality of object detection units, the weights being used when the scores outputted by the plurality of object detection units are merged. A merging unit merges the scores outputted by the plurality of object detection units for each partial region according to the weights computed by the weight computation unit. A loss computation unit computes a difference between a ground truth label of the image data and the scores merged by the merging unit as a loss. Then, a parameter correction unit corrects the weight computation parameters so as to reduce the computed loss.

    ANOMALY DETECTION APPARATUS, ANOMALY DETECTION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM
    8.
    发明申请
    ANOMALY DETECTION APPARATUS, ANOMALY DETECTION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM 审中-公开

    公开(公告)号：US20200311894A1

    公开(公告)日：2020-10-01

    申请号：US16651649

    申请日：2017-09-29

    Applicant: NEC CORPORATION

    Inventor： Katsuhiko TAKAHASHI ,  Yuichi NAKATANI

    IPC: G06T7/00

    Abstract: An anomaly detection apparatus 100 includes an image transformation unit 103 that calculates an image transformation parameter, based on an inspection image in which an inspection object appears, a reference image indicating a normal state of the inspection object and a parameter for image transformation parameter calculation, and performs image transformation on the inspection image using the image transformation parameter, an image change detection unit 104 that collates the reference image and the image-transformed inspection image using a change detection parameter, and calculates an anomaly certainty factor indicating whether there is a change in a specific region of the inspection image, a change detection parameter learning unit 106 that learns the change detection parameter, based on a difference between a training image indicating a correct answer value of the change and the anomaly certainty factor, and an image transformation parameter learning unit 108 that learns the parameter for image transformation parameter calculation, based on a collection amount derived from the difference between the training image and the anomaly certainty factor and to be applied to the inspection image that has undergone image transformation.

    MODEL TRAINING APPARATUS, MODEL TRAINING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
    9.
    发明申请
    MODEL TRAINING APPARATUS, MODEL TRAINING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM 有权

    公开(公告)号：US20250124701A1

    公开(公告)日：2025-04-17

    申请号：US18834016

    申请日：2022-02-10

    Applicant: NEC Corporation

    Inventor： Tetsuo INOSHITA ,  Yuichi NAKATANI

    IPC: G06V10/82 ,  G06V10/77 ,  G06V10/98

    Abstract: A model training apparatus acquires a first training data set including a first training image representing a scene in a first environment and first class information indicating a class of each of a plurality of image regions included in the first training image. The model training apparatus inputs the first training image to an image conversion model to acquire an output image representing a scene in a second environment, inputs the output image to a discrimination model to acquire discrimination data, and trains the image conversion model using the discrimination data and the first class information. The discrimination data indicates, for each of a plurality of partial regions included in an image input to the discrimination model, whether or not the partial region is a fake image region, and indicates a class of the partial region when the partial region is not a fake image.

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