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公开(公告)号：US20210326639A1
公开(公告)日：2021-10-21
申请号：US17360535
申请日：2021-06-28
Inventor： Min Yang
Abstract: An image recognition method, electronic device, and storage medium are provided and relate to the fields of artificial intelligence, computer vision, deep learning, image processing, and the like. The method includes: performing joint training on a first sub-network configured for recognition processing and a second sub-network configured for retrieval processing in a classification network by adopting an identical set of training data to obtain a trained target classification network, wherein, the first sub-network and the second sub-network are twin networks that are consistent in network structures and share a set of weights; and inputting image data to be recognized into the target classification network to obtain a recognition result. By adopting the method, the accuracy of the image recognition may be improved.
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Patent Agency Ranking
公开(公告)号：US11610396B2
公开(公告)日：2023-03-21
申请号：US17375468
申请日：2021-07-14
IPC: G06K9/00 , G06V20/00 , G06N20/00 , G06F16/583 , G06F16/532 , G06F16/56 , G06F18/22 , G06V30/146 , G06V30/10
Abstract: The present disclosure provides a logo picture processing method, apparatus, device and medium, and relates to technical field of image processing, and specifically to the technical field of artificial intelligence such as deep learning and computer vision. The logo picture processing method includes: obtaining a logo picture including: a current logo graph and current text information; performing text recognition on the logo picture to obtain the current text information; searching for a picture that matches both the current logo graph and the current text information, to obtain a matched picture. The present disclosure may improve the accuracy of the matched picture of the logo picture and thereby improve the logo picture recognition accuracy.
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公开(公告)号：US11899710B2
公开(公告)日：2024-02-13
申请号：US17360535
申请日：2021-06-28
Inventor： Min Yang
IPC: G06V10/82 , G06N3/045 , G06N3/08 , G06F18/20 , G06F16/55 , G06F18/25 , G06F18/24 , G06F18/214 , G06F18/21 , G06V10/764 , G06V10/774 , G06V10/776 , G06V10/80 , G06V10/44 , G06V20/00
CPC classification number: G06F16/55 , G06F18/214 , G06F18/217 , G06F18/24 , G06F18/253 , G06N3/045 , G06N3/08 , G06V10/454 , G06V10/764 , G06V10/774 , G06V10/776 , G06V10/809 , G06V10/82 , G06V20/00
Abstract: An image recognition method, electronic device, and storage medium are provided and relate to the fields of artificial intelligence, computer vision, deep learning, image processing, and the like. The method includes: performing joint training on a first sub-network configured for recognition processing and a second sub-network configured for retrieval processing in a classification network by adopting an identical set of training data to obtain a trained target classification network, wherein, the first sub-network and the second sub-network are twin networks that are consistent in network structures and share a set of weights; and inputting image data to be recognized into the target classification network to obtain a recognition result. By adopting the method, the accuracy of the image recognition may be improved.
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公开(公告)号：US11836186B2
公开(公告)日：2023-12-05
申请号：US17208901
申请日：2021-03-22
Inventor： Hui Ren , Min Yang , Xuetong Xue
IPC: G06K9/62 , G06K9/46 , G06N3/02 , G06F16/583 , G06F18/231 , G06V30/24 , G06V10/75 , G06V10/762 , G06V10/82 , G06V10/44
CPC classification number: G06F16/583 , G06F18/231 , G06N3/02 , G06V10/454 , G06V10/751 , G06V10/7625 , G06V10/82 , G06V30/248
Abstract: A method for retrieving an image is provided. The method includes: extracting a global feature and a local feature of an image to be retrieved, and a global feature and a local feature of an image to be recalled by employing a preset neural network model; determining a candidate image set by matching the global feature of the image to be retrieved with the global feature of the image to be recalled and matching the local feature of the image to be retrieved with the local feature of the image to be recalled; and determining a retrieval result from the candidate image set by performing local feature verification on the image to be retrieved and a candidate image in the candidate image set. An apparatus for retrieving an image, an electronic device, and a medium are further provided.
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公开(公告)号：US11636666B2
公开(公告)日：2023-04-25
申请号：US17212635
申请日：2021-03-25
Inventor： Xuetong Xue , Hui Ren , Min Yang
Abstract: The present disclosure provides a method for identifying key point locations in an image. The method includes: obtaining an image to be detected, and obtaining a feature map and a saliency map of the image to be detected; generating a score response map of the image to be detected based on the feature map of the image to be detected; obtaining a first key point location of a key point on the score response map; obtaining a second key point location of the key point mapped on the image to be detected based on the first key point location; and correcting the second key point location based on the saliency map.
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公开(公告)号：US20210279500A1
公开(公告)日：2021-09-09
申请号：US17212635
申请日：2021-03-25
Inventor： Xuetong Xue , Hui Ren , Min Yang
IPC: G06K9/46
Abstract: The present disclosure provides a method for identifying key point locations in an image. The method includes: obtaining an image to be detected, and obtaining a feature map and a saliency map of the image to be detected; generating a score response map of the image to be detected based on the feature map of the image to be detected; obtaining a first key point location of a key point on the score response map; obtaining a second key point location of the key point mapped on the image to be detected based on the first key point location; and correcting the second key point location based on the saliency map.
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