DETECTING OBJECTS USING A WEAKLY SUPERVISED MODEL

    公开(公告)号:US20200334487A1

    公开(公告)日:2020-10-22

    申请号:US16919383

    申请日:2020-07-02

    Applicant: Adobe Inc.

    Abstract: The present disclosure is directed toward systems and methods for detecting an object in an input image based on a target object keyword. For example, one or more embodiments described herein generate a heat map of the input image based on the target object keyword and generate various bounding boxes based on a pixel analysis of the heat map. One or more embodiments described herein then utilize the various bounding boxes to determine scores for generated object location proposals in order to provide a highest scoring object location proposal overlaid on the input image.

    Detecting objects using a weakly supervised model

    公开(公告)号:US10740647B2

    公开(公告)日:2020-08-11

    申请号:US15921492

    申请日:2018-03-14

    Applicant: Adobe Inc.

    Abstract: The present disclosure is directed toward systems and methods for detecting an object in an input image based on a target object keyword. For example, one or more embodiments described herein generate a heat map of the input image based on the target object keyword and generate various bounding boxes based on a pixel analysis of the heat map. One or more embodiments described herein then utilize the various bounding boxes to determine scores for generated object location proposals in order to provide a highest scoring object location proposal overlaid on the input image.

    DETECTING OBJECTS USING A WEAKLY SUPERVISED MODEL

    公开(公告)号:US20190286932A1

    公开(公告)日:2019-09-19

    申请号:US15921492

    申请日:2018-03-14

    Applicant: Adobe Inc.

    Abstract: The present disclosure is directed toward systems and methods for detecting an object in an input image based on a target object keyword. For example, one or more embodiments described herein generate a heat map of the input image based on the target object keyword and generate various bounding boxes based on a pixel analysis of the heat map. One or more embodiments described herein then utilize the various bounding boxes to determine scores for generated object location proposals in order to provide a highest scoring object location proposal overlaid on the input image.

    Detecting objects using a weakly supervised model

    公开(公告)号:US11367273B2

    公开(公告)日:2022-06-21

    申请号:US16919383

    申请日:2020-07-02

    Applicant: Adobe Inc.

    Abstract: The present disclosure is directed toward systems and methods for detecting an object in an input image based on a target object keyword. For example, one or more embodiments described herein generate a heat map of the input image based on the target object keyword and generate various bounding boxes based on a pixel analysis of the heat map. One or more embodiments described herein then utilize the various bounding boxes to determine scores for generated object location proposals in order to provide a highest scoring object location proposal overlaid on the input image.

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