-
公开(公告)号：US20220012588A1
公开(公告)日：2022-01-13
申请号：US17348678
申请日：2021-06-15
发明人： Seonmin RHEE , Chris Dongjoo KIM , Gunhee KIM , Jinseo JEONG , Seungju HAN
摘要： A reservoir management method includes: in response to receiving input data to which label information is mapped, determining whether to add the input data to a reservoir based on a sampling probability; in response to determining to add the input data to the reservoir when the reservoir is filled, selecting candidate data to be removed from among sets of sample data included in the reservoir based on a target label distribution and a current label distribution of the reservoir, and removing the selected candidate data from the reservoir; and training a neural network model using sample data of the reservoir from which the selected candidate data is removed.
-
公开(公告)号：US20230282216A1
公开(公告)日：2023-09-07
申请号：US18317503
申请日：2023-05-15
发明人： Seungju HAN , Jaejoon HAN , Minsu KO , Chang Kyu CHOI , Bohyung HAN
IPC分类号： G10L17/02 , G06N3/08 , G10L17/06 , G10L17/18 , G10L17/04 , G06V40/50 , G06V40/70 , G06F21/36 , G06F21/45 , G06V10/82 , G06F18/00 , G06F18/24 , G06N3/045 , G06V10/764
CPC分类号： G10L17/02 , G06F18/00 , G06F18/24 , G06F21/36 , G06F21/45 , G06N3/045 , G06N3/08 , G06V10/764 , G06V10/82 , G06V40/50 , G06V40/70 , G10L17/04 , G10L17/06 , G10L17/18
摘要： An authentication method and apparatus using a transformation model are disclosed. The authentication method includes generating, at a first apparatus, a first enrolled feature based on a first feature extractor, obtaining a second enrolled feature to which the first enrolled feature is transformed, determining an input feature by extracting a feature from input data with a second feature extractor different from the first feature extractor, and performing an authentication based on the second enrolled feature and the input feature.
-
公开(公告)号：US20220138494A1
公开(公告)日：2022-05-05
申请号：US17322976
申请日：2021-05-18
发明人： Seong-Jin PARK , Hyun Oh SONG , Gaon AN , Seungju HAN
摘要： A method and apparatus for classification using a neural network. A classification apparatus includes at least one processor and a memory. The memory is configured to store a classifier and a preprocessor including a defensive noise generator. The at least one processor generates defensive noise from an input image through the defensive noise generator in the preprocessor, generates a combined image by combining the input image and the defensive noise, and outputs a classification result by inputting the combined image to the classifier.
-
公开(公告)号：US20200293886A1
公开(公告)日：2020-09-17
申请号：US16811452
申请日：2020-03-06
发明人： Seungju HAN , Jaejoon HAN , Minsu KO , Chang Kyu CHOI , Bohyung HAN
摘要： An authentication method and apparatus using a transformation model are disclosed. The authentication method includes generating, at a first apparatus, a first enrolled feature based on a first feature extractor, obtaining a second enrolled feature to which the first enrolled feature is transformed, determining an input feature by extracting a feature from input data with a second feature extractor different from the first feature extractor, and performing an authentication based on the second enrolled feature and the input feature.
-
公开(公告)号：US20240144086A1
公开(公告)日：2024-05-02
申请号：US18314378
申请日：2023-05-09
发明人： Chanho AHN , Kikyung KIM , Jiwon BAEK , Seungju HAN
IPC分类号： G06N20/00
CPC分类号： G06N20/00
摘要： A processor-implemented method includes: determining a prediction loss based on class prediction data obtained by applying a first machine learning model to a training input and a class label with which the training input is labeled; determining a confidence of the class label based on the determined prediction loss; and training a second machine learning model using the training input based on the determined confidence.
-
公开(公告)号：US20230366982A1
公开(公告)日：2023-11-16
申请号：US18354179
申请日：2023-07-18
发明人： Insoo KIM , Seungju HAN , Jaejoon HAN
摘要： A processor-implemented radar data recognition method including generating a plurality of pieces of input data, with respectively different dimension configurations, based on radar data of an object; and outputting a recognition result of the object based on the generated plurality of pieces of input data using a recognition model.
-
公开(公告)号：US20230334901A1
公开(公告)日：2023-10-19
申请号：US18339484
申请日：2023-06-22
发明人： Changyong SON , Wonsuk CHANG , Deoksang KIM , Dae-Kyu SHIN , Byungin YOO , Seungju HAN , Jaejoon HAN , Jinwoo SON , Chang Kyu CHOI
CPC分类号： G06V40/167 , G06V40/171 , G06V40/45 , G06V40/161 , G06V40/172 , G06V40/174 , G06F18/22 , G06V10/761
摘要： Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.
-
公开(公告)号：US20220188987A1
公开(公告)日：2022-06-16
申请号：US17383346
申请日：2021-07-22
发明人： Heewon KIM , Seon Min RHEE , Jihye KIM , Seungju HAN
摘要： A method with image processing includes: generating a first surface normal image comprising surface normal vectors corresponding to pixels of a first depth image; and applying the first depth image and the first surface normal image to a first neural network, and acquiring a second depth image by changing the first depth image using the first neural network. The first neural network generates the second depth image to have an improved quality compared to the first depth image, based on an embedding vector that comprises a feature of the first depth image and a feature of the first surface normal image.
-
公开(公告)号：US20220058377A1
公开(公告)日：2022-02-24
申请号：US17208048
申请日：2021-03-22
发明人： Jiwon BAEK , Seong-Jin PARK , Seungju HAN , Insoo KIM , Jaejoon HAN
摘要： A processor-implemented facial image generating method includes: determining a first feature vector associated with a pose and a second feature vector associated with an identity by encoding an input image including a face; determining a flipped first feature vector by flipping the first feature vector with respect to an axis in a corresponding space; determining an assistant feature vector based on the flipped first feature vector and rotation information corresponding to the input image; determining a final feature vector based on the first feature vector and the assistant feature vector; and generating an output image including a rotated face by decoding the final feature vector and the second feature vector based on the rotation information.
-
公开(公告)号：US20220027668A1
公开(公告)日：2022-01-27
申请号：US17340134
申请日：2021-06-07
发明人： Seon Min RHEE , Jaekyeom KIM , Gunhee KIM , Minjung KIM , Dongyeon WOO , Seungju HAN
摘要： A neural network includes a drop layer configured to drops feature values. A method of computation using the neural network includes extracting feature data from input data using a first portion of a neural network, generating compressed representation data of the extracted feature data by dropping a feature value from the extracted feature data at a drop layer of the neural network based on a drop probability corresponding to the feature value, and indicating an inference result from the compressed representation data using a second portion of the neural network.
-
-
-
-
-
-
-
-
-
搜索结果
78 条记录 (耗时 0.028 秒)
