公开(公告)号：US20180032846A1

公开(公告)日：2018-02-01

申请号：US15660719

申请日：2017-07-26

Applicant: NVIDIA Corporation

Inventor： Xiaodong Yang ,  Pavlo Molchanov ,  Jan Kautz

IPC: G06K9/62 ,  G06N3/04 ,  G06K9/46 ,  G06K9/00 ,  G06K9/66

CPC classification number: G06K9/6293 ,  G06K9/00711 ,  G06K9/00718 ,  G06K9/00744 ,  G06K9/4604 ,  G06K9/4628 ,  G06K9/66 ,  G06N3/04 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/08 ,  G06N20/10

Abstract: A method, computer readable medium, and system are disclosed for classifying video image data. The method includes the steps of processing training video image data by at least a first layer of a convolutional neural network (CNN) to extract a first set of feature maps and generate classification output data for the training video image data. Spatial classification accuracy data is computed based on the classification output data and target classification output data and spatial discrimination factors for the first layer are computed based on the spatial classification accuracies and the first set of feature maps.

公开(公告)号：US09558712B2

公开(公告)日：2017-01-31

申请号：US14600507

申请日：2015-01-20

Applicant: NVIDIA Corporation

Inventor： Dawid Stanislaw Pajak ,  Felix Heide ,  Nagilla Dikpal Reddy ,  Mushfiqur Rouf ,  Jan Kautz ,  Kari Pulli ,  Orazio Gallo

IPC: G09G5/02 ,  G09G5/36 ,  G06T5/00

CPC classification number: G09G5/02 ,  G06T3/4015 ,  G06T5/001 ,  G06T5/002 ,  G09G5/026 ,  G09G5/363 ,  G09G2320/0238 ,  G09G2320/0242 ,  G09G2320/0247 ,  G09G2320/066 ,  G09G2360/08

Abstract: A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.

Abstract translation: 公开了一种从观察图像确定潜像的计算机实现方法。 该方法包括在单个优化框架内实现多个图像处理操作，其中单个优化框架包括求解线性最小化表达式。 该方法还包括将线性最小化表达映射到至少一个非线性求解器上。 此外，该方法包括使用非线性求解器，迭代地求解线性最小化表达以从观察图像中提取潜像，其中线性最小化表达式包括：数据项和正则化项，其中正则化 术语包括多个非线性图像先验。