SG10201709945UA - Face detection using small-scale convolutional neural network (cnn) modules for embedded systems - Google Patents
Face detection using small-scale convolutional neural network (cnn) modules for embedded systemsInfo
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- SG10201709945UA SG10201709945UA SG10201709945UA SG10201709945UA SG10201709945UA SG 10201709945U A SG10201709945U A SG 10201709945UA SG 10201709945U A SG10201709945U A SG 10201709945UA SG 10201709945U A SG10201709945U A SG 10201709945UA SG 10201709945U A SG10201709945U A SG 10201709945UA
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- 238000013527 convolutional neural network Methods 0.000 title abstract 15
- 238000001514 detection method Methods 0.000 title abstract 3
- 238000000034 method Methods 0.000 abstract 2
- 230000007935 neutral effect Effects 0.000 abstract 1
- 238000000638 solvent extraction Methods 0.000 abstract 1
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Abstract
FACE DETECTION USING SMALL-SCALE CONVOLUTIONAL NEURAL NETWORK (CNN) MODULES FOR EMBEDDED SYSTEMS Embodiments described herein provide various examples of a face detection system, based on using a small-scale hardware convolutional neutral network (CNN) module configured into a multi-task cascaded CNN. In some embodiments, a subimage-based CNN system can be configured to be equivalent to a large-scale CNN that processes the entire input image without partitioning such that the output of the subimage-based CNN system can be exactly identical to the output of the large-scale CNN. Based on this observation, some embodiments of this patent disclosure make use of the subimage-based CNN system and technique on one or more stages of a cascaded CNN or a multitask cascaded CNN (MTCNN) so that a larger input image to a given stage of the cascaded CNN or the MTCNN can be partitioned into a set of subimages of a smaller size. As a result, each stage of the cascaded CNN or the MTCNN can use the same small-scale hardware CNN module that is associated with a maximum input image size constraint. FIG. 47
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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US201662428497P | 2016-11-30 | 2016-11-30 | |
US15/441,194 US10360494B2 (en) | 2016-11-30 | 2017-02-23 | Convolutional neural network (CNN) system based on resolution-limited small-scale CNN modules |
US15/657,109 US10268947B2 (en) | 2016-11-30 | 2017-07-21 | Face detection using small-scale convolutional neural network (CNN) modules for embedded systems |
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SG10201709945UA true SG10201709945UA (en) | 2018-06-28 |
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SG10201709945UA SG10201709945UA (en) | 2016-11-30 | 2017-11-30 | Face detection using small-scale convolutional neural network (cnn) modules for embedded systems |
SG10201709943RA SG10201709943RA (en) | 2016-11-30 | 2017-11-30 | A convolutional neural network (cnn) system based on resolution-limited small-scale cnn modules |
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SG10201709943RA SG10201709943RA (en) | 2016-11-30 | 2017-11-30 | A convolutional neural network (cnn) system based on resolution-limited small-scale cnn modules |
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US (3) | US10360494B2 (en) |
KR (2) | KR20180062422A (en) |
CA (2) | CA2986860A1 (en) |
SG (2) | SG10201709945UA (en) |
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