FEW-SHOT LOGO RECOGNITION SYSTEM
    1.
    发明申请

    公开(公告)号:US20250061696A1

    公开(公告)日:2025-02-20

    申请号:US18233704

    申请日:2023-08-14

    Applicant: Snap Inc.

    Abstract: Methods and systems are disclosed for building a few-shot logo recognition system that includes accessing an image with several regions of interest and identifying several objects within the regions of interest using a logo detector neural network. For each object, the logo detector neural network indicates whether the object is a logo. The methods and systems also generate a first and second set of image feature data and a first and second ranked list of logos. A final ranked list of logos is generated based on the first and second ranked list of logos and a category associated with each logo in the final ranked list of logos is identified.

    3D graphic interaction based on scan

    公开(公告)号:US11386625B2

    公开(公告)日:2022-07-12

    申请号:US16949077

    申请日:2020-10-13

    Applicant: Snap Inc.

    Abstract: Aspects of the present disclosure involve a system and a method for performing operations comprising: capturing, by a client device implementing a messaging application, an image; receiving, from a server, an identification of an augmented reality experience associated with the image, the server identifying the augmented reality experience by assigning visual words to features of the image and searching a visual search database to identify a plurality of marker images, and the server retrieving the augmented reality experience associated with a given one of the plurality of marker images; automatically, in response to capturing the image, displaying one or more graphical elements of the identified augmented reality experience; and receiving input from the user interacting with the one or more graphical elements.

    ONLINE TRANSACTION BASED ON CURRENCY SCAN

    公开(公告)号:US20220101609A1

    公开(公告)日:2022-03-31

    申请号:US16949079

    申请日:2020-10-13

    Applicant: Snap Inc.

    Abstract: Aspects of the present disclosure involve a system and a method for performing operations comprising: capturing an image that depicts currency, receiving an identification of an augmented reality experience associated with the image, the server identifying the augmented reality experience by assigning visual words to features of the image and searching a visual search database to identify a plurality of marker images associated with one or more charities, and the server retrieving the augmented reality experience associated with a given one of the plurality of marker images; automatically, in response to capturing the image that depicts currency, displaying one or more graphical elements of the identified augmented reality experience that represent a charity of the one or more charities; and receiving a donation to the charity from a user of the client device in response to an interaction with the one or more graphical elements that represent the charity.

    VISUAL MATCHING WITH A MESSAGING APPLICATION

    公开(公告)号:US20220101033A1

    公开(公告)日:2022-03-31

    申请号:US16949074

    申请日:2020-10-13

    Applicant: Snap Inc.

    Abstract: Aspects of the present disclosure involve a system and a method for performing operations comprising: identifying a plurality of features for an image received by a messaging application server; assigning a first of the plurality of features and a second of the plurality of features respectively to a first nearest visual codebook cluster and a second nearest visual codebook cluster; applying the first and second nearest visual codebook clusters to a visual search database to identify a plurality of candidate matching images; selecting a given matching image based on a geometric verification of the plurality of matching images and the received image; and accessing an augmented reality experience corresponding to the given matching image.

    MACHINE LEARNING MODEL CONTINUOUS TRAINING SYSTEM

    公开(公告)号:US20240406477A1

    公开(公告)日:2024-12-05

    申请号:US18326724

    申请日:2023-05-31

    Applicant: Snap Inc.

    Abstract: Described is a system for performing a set of machine learning model training operations that include: accessing media content items associated with interaction functions initiated by users of an interaction system, generating training data including labels for the media content items, extracting features from a media content item of the media content items, identifying additional media content items to include in the training data based on the extracted features from the media content item, processing the training data using a machine learning model to generate a media content item output; and updating one or more parameters of the machine learning model based on the media content item output. The system checks whether retraining criteria has been met, and repeats the set of machine learning model training operations to retrain the machine learning model.

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