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公开(公告)号：US11429805B2
公开(公告)日：2022-08-30
申请号：US16872199
申请日：2020-05-11
Applicant: Samsung Electronics Co., Ltd.
Inventor： Haoyu Ren , Mostafa El-Khamy , Jungwon Lee , Aman Raj
Abstract: A computer vision (CV) training system, includes: a supervised learning system to estimate a supervision output from one or more input images according to a target CV application, and to determine a supervised loss according to the supervision output and a ground-truth of the supervision output; an unsupervised learning system to determine an unsupervised loss according to the supervision output and the one or more input images; a weakly supervised learning system to determine a weakly supervised loss according to the supervision output and a weak label corresponding to the one or more input images; and a joint optimizer to concurrently optimize the supervised loss, the unsupervised loss, and the weakly supervised loss.
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公开(公告)号：US20210124985A1
公开(公告)日：2021-04-29
申请号：US16872199
申请日：2020-05-11
Applicant: Samsung Electronics Co., Ltd.
Inventor： Haoyu Ren , Mostafa El-Khamy , Jungwon Lee , Aman Raj
Abstract: A computer vision (CV) training system, includes: a supervised learning system to estimate a supervision output from one or more input images according to a target CV application, and to determine a supervised loss according to the supervision output and a ground-truth of the supervision output; an unsupervised learning system to determine an unsupervised loss according to the supervision output and the one or more input images; a weakly supervised learning system to determine a weakly supervised loss according to the supervision output and a weak label corresponding to the one or more input images; and a joint optimizer to concurrently optimize the supervised loss, the unsupervised loss, and the weakly supervised loss.
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公开(公告)号：US20220391632A1
公开(公告)日：2022-12-08
申请号：US17889883
申请日：2022-08-17
Applicant: Samsung Electronics Co., Ltd.
Inventor： Haoyu Ren , Mostafa El-Khamy , Jungwon Lee , Aman Raj
Abstract: A computer vision (CV) training system, includes: a supervised learning system to estimate a supervision output from one or more input images according to a target CV application, and to determine a supervised loss according to the supervision output and a ground-truth of the supervision output; an unsupervised learning system to determine an unsupervised loss according to the supervision output and the one or more input images; a weakly supervised learning system to determine a weakly supervised loss according to the supervision output and a weak label corresponding to the one or more input images; and a joint optimizer to concurrently optimize the supervised loss, the unsupervised loss, and the weakly supervised loss.
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公开(公告)号：US12026627B2
公开(公告)日：2024-07-02
申请号：US17889883
申请日：2022-08-17
Applicant: Samsung Electronics Co., Ltd.
Inventor： Haoyu Ren , Mostafa El-Khamy , Jungwon Lee , Aman Raj
CPC classification number: G06N3/088 , G06F18/21 , G06N7/01 , G06N20/00 , G06T7/11 , G06T7/593 , G06T15/00 , G06V10/82 , G06T2200/08 , G06T2207/10028 , G06T2207/20081 , G06T2207/20132
Abstract: A computer vision (CV) training system, includes: a supervised learning system to estimate a supervision output from one or more input images according to a target CV application, and to determine a supervised loss according to the supervision output and a ground-truth of the supervision output; an unsupervised learning system to determine an unsupervised loss according to the supervision output and the one or more input images; a weakly supervised learning system to determine a weakly supervised loss according to the supervision output and a weak label corresponding to the one or more input images; and a joint optimizer to concurrently optimize the supervised loss, the unsupervised loss, and the weakly supervised loss.
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