Method and apparatus with image segmentation

    公开(公告)号:US10810745B2

    公开(公告)日:2020-10-20

    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.

    Method and apparatus with key-value coupling

    公开(公告)号:US11295220B2

    公开(公告)日:2022-04-05

    申请号:US16535502

    申请日:2019-08-08

    Abstract: A processor-implemented method of implementing an attention mechanism in a neural network includes obtaining key-value coupling data determined based on an operation between new key data determined using a first nonlinear transformation for key data of an attention layer, and value data of the attention layer corresponding to the key data; determining new query data by applying a second nonlinear transformation to query data corresponding to input data of the attention layer; and determining output data of the attention layer based on an operation between the new query data and the key-value coupling data.

    Method and apparatus for indicating lane

    公开(公告)号:US10685241B2

    公开(公告)日:2020-06-16

    申请号:US15467190

    申请日:2017-03-23

    Abstract: Disclosed are methods and apparatuses for indicating a lane, the method including detecting a lane marking from an input image, acquiring a bird's eye view image by applying an inverse perspective mapping to the detected lane marking, extracting control points corresponding to the lane marking from the bird's eye view image, and indicating a lane by re-projecting the control points to a space of the input image through an inverse transformation.

    NEURAL SUPERSAMPLING METHOD AND DEVICE

    公开(公告)号:US20250054100A1

    公开(公告)日:2025-02-13

    申请号:US18404438

    申请日:2024-01-04

    Abstract: A supersampling method includes generating a current rendered image frame by performing jittered sampling on a three-dimensional (3D) scene, based on sub-pixels of low-resolution pixels for the current rendered image frame; generating a current warped image frame by warping a previous output image frame, based on a motion vector map corresponding to a difference between the current rendered image frame and a previous rendered image frame; generating a current shifted image frame by shifting pixels of the current warped image frame, based on a change in sampling positions based on the jittered sampling; and generating a current output image frame, based on the current rendered image frame and the current shifted image frame.

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