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公开(公告)号：US11755948B2
公开(公告)日：2023-09-12
申请号：US16719244
申请日：2019-12-18
Applicant: Google LLC
Inventor： Andrei Kapishnikov , Tolga Bolukbasi , Fernanda Bertini Viégas , Michael Andrew Terry
Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for saliency visualization are provided. The disclosed technology can include receiving a data input including a plurality of features. The data input can be segmented into regions. At least one of the regions can include two or more of the features. Attribution scores can be respectively generated for features of the data input. The attribution scores for each feature can be indicative of a respective saliency of such feature. A respective gain value for each region can be determined over one or more iterations based on the respective attribution scores associated with the features included in the region. Further, at each iteration one or more of the regions with the greatest gain values can be added to a saliency mask. Furthermore, at each iteration a saliency visualization can be produced based on the saliency mask.
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公开(公告)号：US12236326B2
公开(公告)日：2025-02-25
申请号：US18363277
申请日：2023-08-01
Applicant: Google LLC
Inventor： Andrei Kapishnikov , Fernanda Bertini Viégas , Michael Andrew Terry , Tolga Bolukbasi
Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for saliency visualization are provided. The disclosed technology can include receiving a data input including a plurality of features. The data input can be segmented into regions. At least one of the regions can include two or more of the features. Attribution scores can be respectively generated for features of the data input. The attribution scores for each feature can be indicative of a respective saliency of such feature. A respective gain value for each region can be determined over one or more iterations based on the respective attribution scores associated with the features included in the region. Further, at each iteration one or more of the regions with the greatest gain values can be added to a saliency mask. Furthermore, at each iteration a saliency visualization can be produced based on the saliency mask.
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公开(公告)号：US20240054402A1
公开(公告)日：2024-02-15
申请号：US18363277
申请日：2023-08-01
Applicant: Google LLC
Inventor： Andrei Kapishnikov , Fernanda Bertini Viégas , Michael Andrew Terry , Tolga Bolukbasi
Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for saliency visualization are provided. The disclosed technology can include receiving a data input including a plurality of features. The data input can be segmented into regions. At least one of the regions can include two or more of the features. Attribution scores can be respectively generated for features of the data input. The attribution scores for each feature can be indicative of a respective saliency of such feature. A respective gain value for each region can be determined over one or more iterations based on the respective attribution scores associated with the features included in the region. Further, at each iteration one or more of the regions with the greatest gain values can be added to a saliency mask. Furthermore, at each iteration a saliency visualization can be produced based on the saliency mask.
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公开(公告)号：US20210192382A1
公开(公告)日：2021-06-24
申请号：US16719244
申请日：2019-12-18
Applicant: Google LLC
Inventor： Andrei Kapishnikov , Tolga Bolukbasi , Fernanda Bertini Viégas , Michael Andrew Terry
Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for saliency visualization are provided. The disclosed technology can include receiving a data input including a plurality of features. The data input can be segmented into regions. At least one of the regions can include two or more of the features. Attribution scores can be respectively generated for features of the data input. The attribution scores for each feature can be indicative of a respective saliency of such feature. A respective gain value for each region can be determined over one or more iterations based on the respective attribution scores associated with the features included in the region. Further, at each iteration one or more of the regions with the greatest gain values can be added to a saliency mask. Furthermore, at each iteration a saliency visualization can be produced based on the saliency mask.
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