Intel Corporation
Semantic image segmentation using gated dense pyramid blocks

Last updated:

Abstract:

An example apparatus for semantic image segmentation includes a receiver to receive an image to be segmented. The apparatus also includes a gated dense pyramid network comprising a plurality of gated dense pyramid (GDP) blocks to be trained to generate semantic labels for each pixel in the received image. The apparatus further includes a generator to generate a segmented image based on the generated semantic labels.

Status:
Grant
Type:

Utility

Filling date:

27 Mar 2017

Issue date:

26 Oct 2021