Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation

Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi +1

This paper proposes a novel heterogeneous grid convolution that builds a graph-based image representation by exploiting heterogeneity in the image content, enabling adaptive, effic…