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    Instance segmentation
    12.
    发明授权
    Instance segmentation 有权

    公开(公告)号：US11074504B2

    公开(公告)日：2021-07-27

    申请号：US16611604

    申请日：2018-11-14

    Applicant: Google LLC

    Inventor： Liang-Chieh Chen ,  Alexander Hermans ,  Georgios Papandreou ,  Gerhard Florian Schroff ,  Peng Wang ,  Hartwig Adam

    IPC: G06N3/08 ,  G06N20/00 ,  G06T7/174 ,  G06T7/11 ,  G06T7/187

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for instance segmentation. In one aspect, a system generates: (i) data identifying one or more regions of the image, wherein an object is depicted in each region, (ii) for each region, a predicted type of object that is depicted in the region, and (iii) feature channels comprising a plurality of semantic channels and one or more direction channels. The system generates a region descriptor for each of the one or more regions, and provides the region descriptor for each of the one or more regions to a segmentation neural network that processes a region descriptor for a region to generate a predicted segmentation of the predicted type of object depicted in the region.

    NEURAL ARCHITECTURE SEARCH FOR DENSE IMAGE PREDICTION TASKS
    13.
    发明申请
    NEURAL ARCHITECTURE SEARCH FOR DENSE IMAGE PREDICTION TASKS 有权

    公开(公告)号：US20210081796A1

    公开(公告)日：2021-03-18

    申请号：US17107745

    申请日：2020-11-30

    Applicant: Google LLC

    Inventor： Barret Zoph ,  Jonathon Shlens ,  Yukun Zhu ,  Maxwell Donald Collins ,  Liang-Chieh Chen ,  Gerhard Florian Schroff ,  Hartwig Adam ,  Georgios Papandreou

    IPC: G06N3/08 ,  G06N20/00 ,  G06F17/15 ,  G06K9/62 ,  G06N3/04

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining neural network architectures. One of the methods includes obtaining training data for a dense image prediction task; and determining an architecture for a neural network configured to perform the dense image prediction task, comprising: searching a space of candidate architectures to identify one or more best performing architectures using the training data, wherein each candidate architecture in the space of candidate architectures comprises (i) the same first neural network backbone that is configured to receive an input image and to process the input image to generate a plurality of feature maps and (ii) a different dense prediction cell configured to process the plurality of feature maps and to generate an output for the dense image prediction task; and determining the architecture for the neural network based on the best performing candidate architectures.

    Neural architecture search for dense image prediction tasks
    14.
    发明授权
    Neural architecture search for dense image prediction tasks 有权

    公开(公告)号：US10853726B2

    公开(公告)日：2020-12-01

    申请号：US16425900

    申请日：2019-05-29

    Applicant: Google LLC

    Inventor： Barret Zoph ,  Jonathon Shlens ,  Yukun Zhu ,  Maxwell Donald Emmet Collins ,  Liang-Chieh Chen ,  Gerhard Florian Schroff ,  Hartwig Adam ,  Georgios Papandreou

    IPC: G06N3/08 ,  G06N20/00 ,  G06F17/15 ,  G06K9/62 ,  G06N3/04

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining neural network architectures. One of the methods includes obtaining training data for a dense image prediction task; and determining an architecture for a neural network configured to perform the dense image prediction task, comprising: searching a space of candidate architectures to identify one or more best performing architectures using the training data, wherein each candidate architecture in the space of candidate architectures comprises (i) the same first neural network backbone that is configured to receive an input image and to process the input image to generate a plurality of feature maps and (ii) a different dense prediction cell configured to process the plurality of feature maps and to generate an output for the dense image prediction task; and determining the architecture for the neural network based on the best performing candidate architectures.

    INSTANCE SEGMENTATION
    15.
    发明申请
    INSTANCE SEGMENTATION 审中-公开

    公开(公告)号：US20200175375A1

    公开(公告)日：2020-06-04

    申请号：US16611604

    申请日：2018-11-14

    Applicant: Google LLC

    Inventor： Liang-Chieh Chen ,  Alexander Hermans ,  Georgios Papandreou ,  Gerhard Florian Schroff ,  Peng Wang ,  Hartwig Adam

    IPC: G06N3/08 ,  G06N20/00 ,  G06T7/174 ,  G06T7/11 ,  G06T7/187

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for instance segmentation. In one aspect, a system generates: (i) data identifying one or more regions of the image, wherein an object is depicted in each region, (ii) for each region, a predicted type of object that is depicted in the region, and (iii) feature channels comprising a plurality of semantic channels and one or more direction channels. The system generates a region descriptor for each of the one or more regions, and provides the region descriptor for each of the one or more regions to a segmentation neural network that processes a region descriptor for a region to generate a predicted segmentation of the predicted type of object depicted in the region.

    Facial recognition with social network aiding
    17.
    发明授权
    Facial recognition with social network aiding 有权

    公开(公告)号：US10515114B2

    公开(公告)日：2019-12-24

    申请号：US16030316

    申请日：2018-07-09

    Applicant: Google LLC

    Inventor： David Petrou ,  Andrew Rabinovich ,  Hartwig Adam

    IPC: G06K9/00 ,  G06F16/58 ,  G06F16/532 ,  G06F16/583 ,  G06F16/9535 ,  G06F16/2457 ,  A42B1/00

    Abstract: A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics. Finally, at least one person identifier from the list is sent to the requester.

    Efficient Image Analysis
    19.
    发明申请
    Efficient Image Analysis 有权

    公开(公告)号：US20240371189A1

    公开(公告)日：2024-11-07

    申请号：US18775932

    申请日：2024-07-17

    Applicant: Google LLC

    Inventor： Matthew J. Bridges ,  Alessandro Fin ,  Hartwig Adam ,  Jeffrey M. Gilbert

    IPC: G06V30/413 ,  G06F3/04842 ,  G06F18/20 ,  G06F18/24 ,  G06V10/98 ,  G06V20/20 ,  G06V30/19 ,  H04N5/445 ,  H04N5/765 ,  H04N23/62 ,  H04N23/68

    Abstract: A computing system includes one or more memory devices to store instructions; and one or more processors to execute the instructions to perform operations. The operations include: receiving a plurality of images captured by a camera; selecting a portion of the plurality of images having a quality rating above a threshold level; processing, by a coarse classifier, a first image among the portion of the plurality of images to determine whether the first image depicts at least one object from one or more particular classes of objects; in response to determining the first image depicts the at least one object from the one or more particular classes of objects, performing an object recognition process to recognize the at least one object; and presenting content related to the at least one object recognized via the object recognition process.

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