CANet(CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning)[1] consists of a two-branch dense comparison module which performs
multi-level feature comparison, and an iterative optimization module which iterativelyrefines the predicted results. There are some details of reading and implementing it.
