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