" Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field " Supplementary Material Anonymous Author(s) Affiliation Address email

Section 2 provides the implementation details of Rubik's cube convolution within the image restoration Section 3 provides the evaluation of our proposed Rubik's cube convolution on the classification task. Section 4 provides more quantitative and qualitative results. Specifically, the input feature is separated into five groups, where the last four are shifted into four direction and the first is unchanged. When a up-shifting group interacts the next downshifting group, the (i, j) pixel will interweave with its neighboring pixel, (i + p, j), where p denotes the number of shifted pixels. Therefore, with the combined action of the shifting and interaction operation, the receptive field will be expanded along the downward direction.