Building Efficient Deep Neural Networks with Unitary Group Convolutions
Training Structured Efficient Convolutional Layers
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving