SG10201709943RA - A convolutional neural network (cnn) system based on resolution-limited small-scale cnn modules - Google Patents

A convolutional neural network (cnn) system based on resolution-limited small-scale cnn modules

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Publication number
SG10201709943RA
SG10201709943RA SG10201709943RA SG10201709943RA SG10201709943RA SG 10201709943R A SG10201709943R A SG 10201709943RA SG 10201709943R A SG10201709943R A SG 10201709943RA SG 10201709943R A SG10201709943R A SG 10201709943RA SG 10201709943R A SG10201709943R A SG 10201709943RA
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Singapore
Prior art keywords
cnn
resolution
system based
scale
input image
Prior art date
Application number
SG10201709943RA
Inventor
Wang Xing
Wai Ng Him
Liang Jie
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Altumview Systems Inc
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Publication of SG10201709943RA publication Critical patent/SG10201709943RA/en

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Abstract

A CONVOLUTIONAL NEURAL NETWORK (CNN) SYSTEM BASED ON RESOLUTION-LIMITED SMALL-SCALE CNN MODULES Embodiments of a convolutional neutral network (CNN) system based on using resolution-limited small-scale CNN modules are disclosed. In some embodiments, a CNN system includes: a receiving module for receiving an input image of a first image size, the receiving module can be used to partition the input image into a set of subimages of a second image size; a first processing stage that includes a first hardware CNN module configured with a maximum input image size, the first hardware CNN module is configured to sequentially receive the set of subimages and sequentially process the received subimages to generate a set of outputs; a merging module for merging the sets of outputs into a set of merged feature maps; and a second processing stage for receiving the set of feature maps and processing the set of feature maps to generate an output including at least one prediction on the input image. FIG. B 40
SG10201709943RA 2016-11-30 2017-11-30 A convolutional neural network (cnn) system based on resolution-limited small-scale cnn modules SG10201709943RA (en)

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US15/441,194 US10360494B2 (en) 2016-11-30 2017-02-23 Convolutional neural network (CNN) system based on resolution-limited small-scale CNN modules

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