METHOD AND APPARATUS FOR MODELING OBJECT
    6.
    发明申请

    公开(公告)号:US20170098016A1

    公开(公告)日:2017-04-06

    申请号:US15241395

    申请日:2016-08-19

    Abstract: A method of modeling an object includes defining a state transition probability and a state of each of a plurality of particles forming the object; changing a state of a particle defined to be in a first state among the plurality of particles to a second state; applying a movement model to a particle defined to be in the second state among the plurality of particles; and changing a state of the particle defined to be in the second state to the first state based on the state transition probability.

    METHOD AND APPARATUS WITH IMAGE SEGMENTATION

    公开(公告)号:US20190295261A1

    公开(公告)日:2019-09-26

    申请号:US16103187

    申请日:2018-08-14

    Abstract: A processor-implemented learning method for an image segmentation includes training first duplicate layers, as duplications of trained first layers of a pre-trained model, so that a second feature extracted from a target image by the trained first duplicate layers is matched to a first feature extracted from a training image by the trained first layers; regularizing the trained first duplicate layers so that a similarity between the first feature and a third feature extracted from the training image by the regularized first duplicate layers meets a threshold; and training second duplicate layers, as duplications of trained second layers of the pre-trained model, to be configured to segment the target image based on the regularized first duplicate layers, the trained second layer being configured to segment the training image.

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