Dilated Convolution

Dilated convolution is used to access broader context without increasing the physical filter size. It is particularly valuable in segmentation, audio modeling, and dense prediction tasks. Its key strength is that it expands the receptive field while keeping parameter count under control. However, the sparse sampling pattern can introduce grid-like artifacts in some applications.