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    Dynamic matching a sensed signal to a concept structure
    101.
    发明授权
    Dynamic matching a sensed signal to a concept structure 有权

    公开(公告)号：US11481582B2

    公开(公告)日：2022-10-25

    申请号：US16729307

    申请日：2019-12-28

    Applicant: Cortica Ltd.

    Inventor： Igal Raichelgauz ,  Karina Odinaev

    IPC: G06K9/62 ,  G06N20/00 ,  G06T5/50 ,  G06T7/246 ,  G06T7/70 ,  G06T3/40 ,  G06V10/22 ,  G06V10/50 ,  G06V10/44 ,  G06V20/40

    Abstract: A method for matching a sensed signal to a concept structure, the method may include: receiving a sensed signal; generating a signature of the input image; comparing the signature of the input image to signatures of a concept structure; determining whether the signature of the input image matches any of the signatures of the concept structure based on signature matching criteria, wherein each signature of the concept structure is associated within a signature matching criterion that is determined based on an object detection parameter of the signature; and concluding that the input image comprises an object associated with the concept structure based on an outcome of the determining.

    Bootstrap unsupervised learning
    102.
    发明授权
    Bootstrap unsupervised learning 有权

    公开(公告)号：US11275971B2

    公开(公告)日：2022-03-15

    申请号：US16711494

    申请日：2019-12-12

    Applicant: Cortica Ltd.

    Inventor： Igal Raichelgauz ,  Karina Odinaev

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/46 ,  G06N20/00 ,  G06K9/20 ,  G06T5/50 ,  G06T7/246 ,  G06T7/70 ,  G06T3/40

    Abstract: Systems, and method and computer readable media that store instructions for motion based object detection. The method may include receiving or generating a video stream that comprises a sequence of images; generating image signatures of the images; wherein each image is associated with an image signature that comprises identifiers; wherein each identifier identifiers a region of interest within the image; generating movement information indicative of movements of the regions of interest within consecutive images of the sequence of images; searching, based on the movement information, for a first group of regions of interest that follow a first movement; wherein different first regions of interest are associated with different parts of an object; and linking between first identifiers that identify the first group of regions of interest.

    OBJECT DETECTOR HAVING SHALLOW NEURAL NETWORKS
    103.
    发明申请
    OBJECT DETECTOR HAVING SHALLOW NEURAL NETWORKS 审中-公开

    公开(公告)号：US20200311492A1

    公开(公告)日：2020-10-01

    申请号：US16681863

    申请日：2019-11-13

    Applicant: Cortica Ltd

    Inventor： Igal Raichelgauz ,  Roi Saida

    IPC: G06K9/68 ,  G06K9/32 ,  G06K9/36 ,  G06N3/04 ,  G06N3/08

    Abstract: A method that may include receiving or generating multiple versions of an input image, wherein the multiple versions differ from each other by resolution; feeding the multiple versions of the input image to multiple branches of an object detector; wherein the multiple branches comprise multiple shallow neural networks that are followed by multiple region units; calculating, by the multiple branches, candidate bounding boxes that are indicative of candidate objects that appear in the multiple versions of the input image; wherein the calculating comprises feeding intermediate results from shallow neural networks of lower resolution branches to shallow neural networks of higher resolution branches; and selecting bounding boxes out of the candidate bounding boxes, by a selection unit that follows the multiple branches

    METHOD FOR OBJECT DETECTION USING KNOWLEDGE DISTILLATION
    104.
    发明申请
    METHOD FOR OBJECT DETECTION USING KNOWLEDGE DISTILLATION 审中-公开

    公开(公告)号：US20200293904A1

    公开(公告)日：2020-09-17

    申请号：US16808408

    申请日：2020-03-04

    Applicant: CORTICA LTD.

    Inventor： Igal Raichelgauz ,  Eli Passov

    IPC: G06N3/08 ,  G06N3/04

    Abstract: A method that may include training a student ODNN to mimic a teacher ODNN. The training may include calculating a teacher student detection loss that is based on a pre-bounding-box output of the teacher ODNN. The pre-bounding-box output of the teacher ODNN is a function of pre-bounding-box outputs of different ODNNs that belong to the teacher ODNN. The method may also include detecting one or more objects in an image, by feeding the image to the trained student ODNN; outputting by the trained student ODNN a student pre-bounding-box output; and calculating one or more bounding boxes based on the student pre-bounding-box output.

    Method and system for populating a concept database with respect to user identifiers
    109.
    发明授权
    Method and system for populating a concept database with respect to user identifiers 有权

    公开(公告)号：US10585934B2

    公开(公告)日：2020-03-10

    申请号：US15647888

    申请日：2017-07-12

    Applicant: Cortica, Ltd.

    Inventor： Igal Raichelgauz ,  Karina Odinaev ,  Yehoshua Y Zeevi

    IPC: G06F16/41 ,  G06F16/14

    Abstract: A method and system for populating a concept database based on a plurality of multimedia data elements (MMDEs) and at least one user identifier, the concept database including a plurality of concept structures. The method includes clustering a plurality of signatures of the plurality of MMDEs into a cluster of signatures; reducing the number of signatures in the cluster to a create a signature reduced cluster (SRC); generating, based on the SRC and the plurality of concept structures, an index, wherein the index maps the plurality of MMDEs to a matching concept structure of the plurality of concept structures; associating the index with a user based on the at least one user identifier; and storing the index and the plurality of MMDEs in the concept database.

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