Workflow from Scientific Research

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Recurrent-based architecture designs of DRCN [105] (upper left), DRRN [65] (upper right), and MemNet [92] (bottom). The DRCN applies the same convolutional layer multiple times. The DRNN extends this idea to recursive application of a residual block. The MemNet introduces a gate unit to distill most important features from all intermediate convolution results in a recursive manner.
#Workflow#Flowchart#DRCN#DRRN#MemNet#Recurrent Neural Network#Convolutional Layer#Residual Block#Gate Unit#Feature Distillation
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