PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

Michael Figurnov, Aijan Ibraimova, Dmitry Vetrov +1

We propose a novel approach to reduce the computational cost of evaluation of convolutional neural networks, a factor that has hindered their deployment in low-power devices such a…