发明者
Kye-hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam, Sukhoon Boo, Myungchul Sung, Donghun Yeo, RYU Wooju, Taewoong Jang, Kyungjoong Jeong, Hongmo Je, Hojin Cho
发表日期
2019/6/4
专利局
US
专利号
10311337
专利申请号
16121031
简介
A method for providing an integrated feature map by using an ensemble of a plurality of outputs from a convolutional neural network (CNN) is provided. The method includes steps of: a CNN device (a) receiving an input image and applying a plurality of modification functions to the input image to thereby generate a plurality of modified input images;(b) applying convolution operations to each of the modified input images to thereby obtain each of modified feature maps corresponding to each of the modified input images;(c) applying each of reverse transform functions, corresponding to each of the modification functions, to each of the corresponding modified feature maps, to thereby generate each of reverse transform feature maps corresponding to each of the modified feature maps; and (d) integrating at least part of the reverse transform feature maps to thereby obtain an integrated feature map.
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