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Towards a New Interpretation of Separable Convolutions
In recent times, the use of separable convolutions in deep convolutional neural network architectures has been explored.
QuickNet: Maximizing Efficiency and Efficacy in Deep Architectures
We present QuickNet, a fast and accurate network architecture that is both faster and significantly more accurate than other fast deep architectures like SqueezeNet.
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