Apparatus And Methods Of Obtaining Multi-Scale Fea
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专利名称：Apparatus And Methods Of Obtaining Multi-
Scale Feature Vector Using CNN Based
Integrated Circuits
发明人：Lin Yang,Baohua Sun
申请号：US16506937
申请日：20190709
公开号：US20210012177A1
公开日：
20210114
专利内容由知识产权出版社提供
专利附图：
摘要：A pixel feature vector extraction system for extracting multi-scale features
contains a cellular neural networks (CNN) based integrated circuit (IC) for extracting pixel
feature vector out of input imagery data by performing convolution operations using pre-trained filter coefficients of ordered convolutional layers in a deep learning model. The ordered convolutional layers are organized in a number of groups with each group followed by a pooling layer. Each group is configured for a different size of feature map. Pixel feature vector contains a combination of feature maps from at least two groups, for example, concatenation of the feature maps. The first group of the at least two groups contains the largest size of the feature maps amongst all of the at least two groups. Feature maps of the remaining of the at least two groups are modified to match the size of the feature map of the first group.
申请人：GYRFALCON TECHNOLOGY INC.
地址：Milpitas CA US
国籍：US
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