Learning method and learning device for improving performance of CNN by using feature upsampling networks, and testing method and testing device using the same

摘要

A learning method for improving performance of a CNN by using Feature Up-sampling Networks is disclosed. The learning method includes steps of: (a) allowing the down-sampling block to acquire a down-sampling image; (b) allowing each of a (1-1)-th to a (1-k)-th filter blocks to respectively acquire each of a (1-1)-th to a (1-k)-th feature maps; (c) allowing a specific up-sampling block to (i) receive a particular feature map from its corresponding filter block, and (ii) receive another specific feature map from its previous up-sampling block, and then rescale a size of the specific feature map to be identical to that of the particular feature map and (iii) apply certain operations to the particular feature map and the resealed specific feature map to generate a feature map of the specific up-sampling block; and (d)(i) allowing an application block to acquire an application-specific output and (ii) performing a first backpropagation process.