System and method for semantic segmentation using hybrid dilated convolution (HDC)

    公开(公告)号:US11010616B2

    公开(公告)日:2021-05-18

    申请号:US16867472

    申请日:2020-05-05

    Applicant: TUSIMPLE, INC.

    Abstract: A system and method for semantic segmentation using hybrid dilated convolution (HDC) are disclosed. A particular embodiment includes: receiving an input image; producing a feature map from the input image; performing a convolution operation on the feature map and producing multiple convolution layers; grouping the multiple convolution layers into a plurality of groups; applying different dilation rates for different convolution layers in a single group of the plurality of groups; and applying a same dilation rate setting across all groups of the plurality of groups.

    System and method for semantic segmentation using hybrid dilated convolution (HDC)

    公开(公告)号:US10679074B2

    公开(公告)日:2020-06-09

    申请号:US16209262

    申请日:2018-12-04

    Applicant: TuSimple, Inc.

    Abstract: A system and method for semantic segmentation using hybrid dilated convolution (HDC) are disclosed. A particular embodiment includes: receiving an input image; producing a feature map from the input image; performing a convolution operation on the feature map and producing multiple convolution layers; grouping the multiple convolution layers into a plurality of groups; applying different dilation rates for different convolution layers in a single group of the plurality of groups; and applying a same dilation rate setting across all groups of the plurality of groups.

    System and method for occluding contour detection

    公开(公告)号:US11587304B2

    公开(公告)日:2023-02-21

    申请号:US16159060

    申请日:2018-10-12

    Applicant: TuSimple, Inc.

    Abstract: A system and method for occluding contour detection using a fully convolutional neural network is disclosed. A particular embodiment includes: receiving an input image; producing a feature map from the input image by semantic segmentation; learning an array of upscaling filters to upscale the feature map into a final dense feature map of a desired size; applying the array of upscaling filters to the feature map to produce contour information of objects and object instances detected in the input image; and applying the contour information onto the input image.

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