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公开(公告)号：US20170124415A1
公开(公告)日：2017-05-04
申请号：US15342823
申请日：2016-11-03
Applicant: NEC Laboratories America, Inc.
Inventor： Wongun Choi , Yuanqing Lin , Yu Xiang , Silvio Savarese
CPC classification number: G06N3/08 , G06K9/3233 , G06K9/628 , G06N3/0454 , G06T7/73 , G06T2207/20084 , G06T2207/30261
Abstract: A computer-implemented method for detecting objects by using subcategory-aware convolutional neural networks (CNNs) is presented. The method includes generating object region proposals from an image by a region proposal network (RPN) which utilizes subcategory information, and classifying and refining the object region proposals by an object detection network (ODN) that simultaneously performs object category classification, subcategory classification, and bounding box regression. The image is an image pyramid used as input to the RPN and the ODN. The RPN and the ODN each include a feature extrapolating layer to detect object categories with scale variations among the objects.
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公开(公告)号：US09965719B2
公开(公告)日：2018-05-08
申请号：US15342823
申请日：2016-11-03
Applicant: NEC Laboratories America, Inc.
Inventor： Wongun Choi , Yuanqing Lin , Yu Xiang , Silvio Savarese
CPC classification number: G06N3/08 , G06K9/3233 , G06K9/628 , G06N3/0454 , G06T7/73 , G06T2207/20084 , G06T2207/30261
Abstract: A computer-implemented method for detecting objects by using subcategory-aware convolutional neural networks (CNNs) is presented. The method includes generating object region proposals from an image by a region proposal network (RPN) which utilizes subcategory information, and classifying and refining the object region proposals by an object detection network (ODN) that simultaneously performs object category classification, subcategory classification, and bounding box regression. The image is an image pyramid used as input to the RPN and the ODN. The RPN and the ODN each include a feature extrapolating layer to detect object categories with scale variations among the objects.
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