Selective Kernel Convolution
Selective Kernel Convolution
A **Selective Kernel Convolution** is a [convolution](https://paperswithcode.com/method/convolution) that enables neurons to adaptively adjust their RF sizes among multiple kernels with different kernel sizes. Specifically, the SK convolution has three operators – Split, Fuse and Select. Multiple branches with different kernel sizes are fused using
[softmax](https://paperswithcode.com/method/softmax) attention that is guided by the information in these branches. Different attentions on these branches yield different sizes of the effective receptive fields of neurons in the fusion layer
Selective Kernel Networks
https://paperswithcode.com/paper/selective-kernel-networks
Selective Kernel Networks