Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks

Timo Hackel, Mikhail Usvyatsov, Silvano Galliani +2

While CNNs naturally lend themselves to densely sampled data, and sophisticated implementations are available, they lack the ability to efficiently process sparse data. In this wor…