CVPR2021
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation
Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi, Ken Sakurada
摘要
Figure 1. Heterogeneous grid convolution exploits the heterogeneity in the image to enable adaptive, efficient, and controllable computation for a range of image understanding tasks such as semantic segmentation, road extraction, and salient object detection from left to right.