Instead, we propose SurfConv, which "slides" compact 2D filters along the visible 3D surface. SurfConv is formulated as a simple depth-aware multi-scale 2D convolution, through a new Data-Driven Depth ...

There have been considerable debates over 2D and 3D representation learning on 3D medical images. 2D approaches could benefit from large-scale 2D pretraining, whereas they are generally weak in ...

3D convolution is the extension of the 2D convolution concept used for learning on images which is extended to an extra 3rd dimension to be used on videos. Let's try to establish how a dynamic video ...

3D Convolution is a type of convolution where the kernel slides in 3 dimensions as opposed to 2 dimensions with 2D convolutions. You can think of a video as a 3D Array where X Axis depicts the pixel ...