DiCENet

2000년 도입 · 논문 1편에서 사용

DiCENet is a convolutional neural network architecture that utilizes dimensional convolutions (and dimension-wise fusion). The dimension-wise convolutions apply light-weight convolutional filtering across each dimension of the input tensor while dimension-wise fusion efficiently combines these dimension-wise representations; allowing the DiCE Unit in the network to efficiently encode spatial and channel-wise information contained in the input tensor.

출처: DiCENet: Dimension-wise Convolutions for Efficient Networks

소개 논문: DiCENet: Dimension-wise Convolutions for Efficient Networks