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公开(公告)号：US11790045B2
公开(公告)日：2023-10-17
申请号：US17240246
申请日：2021-04-26
Applicant: ADOBE INC.
Inventor： Shipali Shetty , Zhe Lin , Alexander Smith
CPC classification number: G06F18/22 , G06T7/0002 , G06V10/75 , G06T2207/20132 , G06T2210/12
Abstract: Systems and methods for image tagging are described. In some embodiments, images with problematic tags are identified after applying an auto-tagger. The images with problematic tags are then sent to an object detection network. In some cases, the object detection network is trained using a training set selected to improve detection of objects associated with the problematic tags. The output of the object detection network can be merged with the output of the auto-tagger to provide a combined image tagging output. In some cases, the output of the object detection network also includes a bounding box, which can be used to crop the image around a relevant object so that the auto-tagger can be reapplied to a portion of the image.
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公开(公告)号：US20220343108A1
公开(公告)日：2022-10-27
申请号：US17240246
申请日：2021-04-26
Applicant: ADOBE INC.
Inventor： Shipali Shetty , Zhe Lin , Alexander Smith
Abstract: Systems and methods for image tagging are described. In some embodiments, images with problematic tags are identified after applying an auto-tagger. The images with problematic tags are then sent to an object detection network. In some cases, the object detection network is trained using a training set selected to improve detection of objects associated with the problematic tags. The output of the object detection network can be merged with the output of the auto-tagger to provide a combined image tagging output. In some cases, the output of the object detection network also includes a bounding box, which can be used to crop the image around a relevant object so that the auto-tagger can be reapplied to a portion of the image.
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