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公开(公告)号：US09202144B2
公开(公告)日：2015-12-01
申请号：US14517211
申请日：2014-10-17
Applicant: NEC Laboratories America, Inc.
Inventor： Xiaoyu Wang , Yuanqing Lin , Will Zou , Miao Sun
CPC classification number: G06K9/66 , G06K9/4628
Abstract: Systems and methods are disclosed for detecting an object in an image by determining convolutional neural network responses on the image; mapping the responses back to their spatial locations in the image; and constructing features densely extract shift invariant activations of a convolutional neural network to produce dense features for the image.
Abstract translation: 公开了通过确定图像上的卷积神经网络响应来检测图像中的对象的系统和方法; 将响应映射回图像中的空间位置; 并且构造特征密集地提取卷积神经网络的移位不变激活以产生图像的密集特征。
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公开(公告)号：US20150117760A1
公开(公告)日：2015-04-30
申请号：US14517211
申请日：2014-10-17
Applicant: NEC Laboratories America, Inc.
Inventor： Xiaoyu Wang , Yuanqing Lin , Will Zou , Miao Sun
IPC: G06K9/66
CPC classification number: G06K9/66 , G06K9/4628
Abstract: Systems and methods are disclosed for detecting an object in an image by determining convolutional neural network responses on the image; mapping the responses back to their spatial locations in the image; and constructing features densely extract shift invariant activations of a convolutional neural network to produce dense features for the image.
Abstract translation: 公开了通过确定图像上的卷积神经网络响应来检测图像中的对象的系统和方法; 将响应映射回图像中的空间位置; 并且构造特征密集地提取卷积神经网络的移位不变激活以产生图像的密集特征。
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