Grouped convolution operation for 1D, 2D or 3D spatial dimensions. Convolution utilizes GEMM kernel after tensor coordinate transform. In CK Grouped Convolution ...

For example, we can have 32 filters that slide over the input feature maps. These 32 filters are convolved at the same time, over the whole input. When using grouped convolutions, we can separate the ...

Abstract: Grouped convolution has been observed to be an effective approximation for convolution in many DNN applications. For example, SqueezeBERT, which is a light and fast BERT language processing ...

Abstract: This article proposes a novel module called middle spectrum grouped convolution (MSGC ... for general image recognition with even improved predictive accuracy. For example, in the ...