Image processing method based on winograd dynamic convolution block

• Main Authors: ZHANG XINGJUN, GAO BAISONG, JI ZEYU, YAN WEI, WEI JIA, WEI ZHENG, LI JINGBO
• Format: Patent
• Language: Chinese; English
• Published: 02.03.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention discloses an image processing method based on winograd dynamic convolution blocks, and belongs to the field of convolution networks. According to the invention, a calculation complexityfunction of a winograd rapid convolution method is generated by using a Chinese remainder theorem algorithm, and convolution parameters of each layer in a convolutional neural network model are introduced as constants by the calculation complexity function to obtain a calculation complexity model of which the variable is the size of a winograd convolution block; the method also includes minimizingthe computation overhead based on the computation complexity model; according to the convolution block size obtained by minimizing the calculation overhead, completing winograd rapid convolution calculation of the corresponding layer number; extracting features of the pictures and sending the features to a convolutional neural network for classification processing; according to the invention, theproblem of convolution per