Convolution is the most common operation for processing data in deep learning. However, since most of the data we paid attention to, such as pictures and videos, can be seen as regular dense grids, convolution is also based on the characteristics of this dense structure, but in fact, there are a lot of data that do not meet the characteristics of regular and dense, such as one-dimensional curves in two-dimensional space, two-dimensional curved surfaces in three-dimensional space, and 3D point clouds.

#machine-learning #object-detection #cnn #computer-vision #point-cloud