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公开(公告)号：US20180204059A1
公开(公告)日：2018-07-19
申请号：US15841157
申请日：2017-12-13
发明人： Stanislaw Antol , Abhijit Bendale , Simon J. Gibbs , Won J. Jeon , Hyun Jae Kang , Jihee Kim , Bo Li , Anthony S. Liot , Lu Luo , Pranav K. Mistry , Zhihan Ying
摘要： A method includes retrieving, by a device, contextual information based on at least one of an image, the device, user context, or a combination thereof. At least one model is identified from multiple models based on the contextual information and at least one object recognized in an image based on at least one model. At least one icon is displayed at the device. The at least one icon being associated with at least one of an application, a service, or a combination thereof providing additional information.
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公开(公告)号：US10902262B2
公开(公告)日：2021-01-26
申请号：US15875393
申请日：2018-01-19
发明人： Stanislaw Antol , Abhijit Bendale , Simon J. Gibbs , Won J. Jeon , Hyun Jae Kang , Jihee Kim , Bo Li , Anthony S. Liot , Lu Luo , Pranav K. Mistry , Zhihan Ying
IPC分类号： G06K9/00 , H04L29/08 , G06T19/00 , G06N20/00 , G06N3/08 , G06K9/62 , G06F11/30 , H04L29/06 , G06F11/34 , G06N5/02 , G06T11/00 , G06K9/32 , G06K9/66 , G06F3/14
摘要： One embodiment provides a method comprising classifying one or more objects present in an input comprising visual data by executing a first set of models associated with a domain on the input. Each model corresponds to an object category. Each model is trained to generate a visual classifier result relating to a corresponding object category in the input with an associated confidence value indicative of accuracy of the visual classifier result. The method further comprises aggregating a first set of visual classifier results based on confidence value associated with each visual classifier result of each model of the first set of models. At least one other model is selectable for execution on the input based on the aggregated first set of visual classifier results for additional classification of the objects. One or more visual classifier results are returned to an application running on an electronic device for display.
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公开(公告)号：US10909371B2
公开(公告)日：2021-02-02
申请号：US15841157
申请日：2017-12-13
发明人： Stanislaw Antol , Abhijit Bendale , Simon J. Gibbs , Won J. Jeon , Hyun Jae Kang , Jihee Kim , Bo Li , Anthony S. Liot , Lu Luo , Pranav K. Mistry , Zhihan Ying
IPC分类号： G06K9/00 , G06N20/00 , G06F11/30 , G06F11/34 , G06K9/32 , G06K9/62 , G06K9/66 , G06N3/08 , G06N5/02 , G06T11/00 , G06T19/00 , H04L29/08 , H04L29/06 , G06F3/14
摘要： A method includes retrieving, by a device, contextual information based on at least one of an image, the device, user context, or a combination thereof. At least one model is identified from multiple models based on the contextual information and at least one object recognized in an image based on at least one model. At least one icon is displayed at the device. The at least one icon being associated with at least one of an application, a service, or a combination thereof providing additional information.
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公开(公告)号：US20180204061A1
公开(公告)日：2018-07-19
申请号：US15875393
申请日：2018-01-19
发明人： Stanislaw Antol , Abhijit Bendale , Simon J. Gibbs , Won J. Jeon , Hyun Jae Kang , Jihee Kim , Bo Li , Anthony S. Liot , Lu Luo , Pranav K. Mistry , Zhihan Ying
摘要： One embodiment provides a method comprising classifying one or more objects present in an input comprising visual data by executing a first set of models associated with a domain on the input. Each model corresponds to an object category. Each model is trained to generate a visual classifier result relating to a corresponding object category in the input with an associated confidence value indicative of accuracy of the visual classifier result. The method further comprises aggregating a first set of visual classifier results based on confidence value associated with each visual classifier result of each model of the first set of models. At least one other model is selectable for execution on the input based on the aggregated first set of visual classifier results for additional classification of the objects. One or more visual classifier results are returned to an application running on an electronic device for display.
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