Reducing image resolution in deep convolutional networks

US2016321784A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016321784-A1
Application numberUS-201514859095-A
CountryUS
Kind codeA1
Filing dateSep 18, 2015
Priority dateApr 28, 2015
Publication dateNov 3, 2016
Grant date

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Abstract

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A method of reducing image resolution in a deep convolutional network (DCN) includes dynamically selecting a reduction factor to be applied to an input image. The reduction factor can be selected at each layer of the DCN. The method also includes adjusting the DCN based on the reduction factor selected for each layer.

First claim

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What is claimed is: 1 . A method of reducing image resolution in a deep convolutional network (DCN), comprising: dynamically selecting a reduction factor to be applied, to an input image, at each layer of the DCN; and adjusting the DCN based at least in part on the reduction factor selected for each layer. 2 . The method of claim 1 , in which dynamically selecting the reduction factor comprises: randomly selecting the reduction factor for each layer;…

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What does patent US2016321784A1 cover?
A method of reducing image resolution in a deep convolutional network (DCN) includes dynamically selecting a reduction factor to be applied to an input image. The reduction factor can be selected at each layer of the DCN. The method also includes adjusting the DCN based on the reduction factor selected for each layer.
Who is the assignee on this patent?
Qualcomm Inc
What technology area does this patent fall under?
Primary CPC classification G06T3/4046. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Nov 03 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).