Convolution with even-sized kernels and symmetric padding

Shuang Wu, Guanrui Wang, Pei Tang +2

Compact convolutional neural networks gain efficiency mainly through depthwise convolutions, expanded channels and complex topologies, which contrarily aggravate the training proce…