专利名称:Transform domain regression convolutional
中国最大港口>老式小蛋糕
neural network for image gmentation
发明人:Raúl Alejandro Casas,Samer Lutfi Hijazi,Rishi
Kumar,Piyush Kaul,Xuehong
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刀耕火种Mao,Christopher Rowen,Himanshu Charaya
申请号:US15626821
申请日:20170619
诗大全100首公开号:US10290107B1
公开日:
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20190514
专利内容由知识产权出版社提供
专利附图:
摘要:Aspects of the prent disclosure involve a transform domain regression
convolutional neural network for image gmentation. Example embodiments include a system comprising a machine-readable storage medium storing instructions and computer-implemented methods for classifying one or more pixels in an image. The method may include analyzing the image to estimate one or more transform domain coefficients using a multi-layered function such as a convolutional neural network. The method may further include generating a gmented image by applying a change of basis transformation to the estimated one or more transform domain coefficients.
申请人:Cadence Design Systems, Inc.
地址:San Jo CA US
国籍:US
代理机构:Schwegman Lundberg & Woessner, P.A.热爱生活正能量的句子
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