Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

Xiaohan Ding, Xiangyu Zhang, Yizhuang Zhou +3

We revisit large kernel design in modern convolutional neural networks (CNNs). Inspired by recent advances in vision transformers (ViTs), in this paper, we demonstrate that using a…