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Patent Agency Ranking
公开(公告)号：US20230259741A1
公开(公告)日：2023-08-17
申请号：US18090211
申请日：2022-12-28
Inventor： Joong Won HWANG , Yong Jin KWON , Jin Young MOON , Yu Seok BAE , Sung Chan OH
Abstract: The present disclosure relates to a method and apparatus for constructing a network adaptable to consecutive/complex domains. An apparatus for constructing a domain adaptive network according to an embodiment of the present disclosure includes a memory configured to store data; and a processor configured to control the memory, wherein the processor is configured to determine a weight to be applied to one or more neural networks based on input data, construct a final neural network by applying the weight to the one or more neural networks, and output result data of the input data using the final neural network, wherein the one or more neural networks are trained using data for each prototype domain.
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公开(公告)号：US20200311389A1
公开(公告)日：2020-10-01
申请号：US16834500
申请日：2020-03-30
Inventor： Hyung Il KIM , Yong Jin KWON , Jin Young MOON , Jong Youl PARK , Sung Chan OH , Ki Min YUN , Jeun Woo LEE
Abstract: A domain adaptation-based object recognition apparatus includes a memory configured to store a domain adaptation-based object recognition program and a processor configured to execute the program. The processor learns a generative model for generating a feature or an image similar to a gallery image on the basis of domain adaptation in association with an input probe image and learns an object recognition classification model by using a learning database corresponding to the gallery image and the input probe image, thereby performing object recognition using the input probe image.
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公开(公告)号：US20210256322A1
公开(公告)日：2021-08-19
申请号：US17174570
申请日：2021-02-12
Inventor： Jeun Woo LEE , Sung Chan OH
Abstract: Provided is an apparatus for classifying an attribute of an image object, including: a first memory configured to store target object images that are indexed; a second memory configured to store target object images that are un-indexed; and an object attribute classification module configured to perform learning on the un-indexed target object images to construct a classifier for classifying a detailed attribute of target object, and finely adjust the classifier on the basis of the indexed target object images.
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公开(公告)号：US20200074647A1
公开(公告)日：2020-03-05
申请号：US16541639
申请日：2019-08-15
Inventor： Jin Young MOON , Yong Jin KWON , HYUNG IL KIM , Ki Min YUN , Jong Youl PARK , Sung Chan OH , Jeun Woo LEE
Abstract: Smart glasses for selectively tracking a target of visual cognition according to the present invention include a first camera configured to capture a first input image that is a first-person view image of a user, a second camera configured to capture a second input image containing sight line information of the user, a display configured to output additional information corresponding to the first input image, a memory configured to store a program for selectively tracking a target of visual cognition on the basis of the first and second input images, and a processor configured to execute the program stored in the memory, wherein upon executing the program, the processor is configured to detect the target of visual cognition from the first input image and determine, from the second input image, whether the user is in an inattentive state with respect to the target of visual cognition.
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公开(公告)号：US20190019031A1
公开(公告)日：2019-01-17
申请号：US16033152
申请日：2018-07-11
Inventor： Ki Min YUN , Yong Jin KWON , Jin Young MOON , Sung Chan OH , Jong Youl PARK , Jeun Woo LEE
CPC classification number: G06K9/00664 , G06K9/00744 , G06T7/194 , G06T7/251 , G06T7/254 , G06T2207/10016 , G06T2207/20224
Abstract: Provided is a dynamic object detecting technique, and more specifically, a system and method for determining a state of a motion of a camera on the basis of a local motion estimated on the basis of a video captured by a dynamic camera and a result of analyzing a global motion, flexibly updating a background model according to the state of the motion of the camera, and flexibly detecting a dynamic object according to the state of the motion of the camera.
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