Description
Usage of larger than typical convolutional kernel sizes, as also seen in 'Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs'
Papers Using This Method
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation2022-09-29Deep Multi-Scale Representation Learning with Attention for Automatic Modulation Classification2022-08-31Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs2022-03-13A ConvNet for the 2020s2022-01-10Understanding Kernel Size in Blind Deconvolution2017-06-06ImageNet Classification with Deep Convolutional Neural Networks2012-12-01