Depthwise Separable Convolution Depthwise Separable Convolution于2017年在《MobileNets: Efficient Convolutional Neural Networks for Mobile VisionApplications》提出。 标准卷积操作所使用卷积核与输入特征具有相同的通道数,卷积核个数即为输出特征的通道数。 ... ...
We propose SpeakerNet - a new neural architecture for speaker recognition and speaker verification tasks. It is composed of residual blocks with 1D depth-wise separable convolutions, batch-normalization, and ReLU layers. This architecture uses x-vector based statistics pooling layer to map variable-...
electronics Article An Efficient and Accurate Depth-Wise Separable Convolutional Neural Network for Cybersecurity Vulnerability Assessment Based on CAPTCHA Breaking Stephen Dankwa * and Lu Yang * School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611371, ...