MixConv
Mixed Depthwise Convolution
**MixConv**, or **Mixed Depthwise Convolution**, is a type of [depthwise convolution](https://paperswithcode.com/method/depthwise-convolution) that naturally mixes up multiple kernel sizes in a single [convolution](https://paperswithcode.com/method/convolution). It is based on the insight that depthwise convolution applies a single kernel size to all channels, which MixConv overcomes by combining the benefits of multiple kernel sizes. It does this by partitioning channels into groups and applying a different kernel size to each group.
MixConv: Mixed Depthwise Convolutional Kernels
https://paperswithcode.com/paper/mixnet-mixed-depthwise-convolutional-kernels
MixConv: Mixed Depthwise Convolutional Kernels