Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters

In this paper, we study retrieving objects in complicated clutters via a novel method of recursively broadcasting the accurate local dynamics to build a support relation graph of the whole scene, which largely reduces the complexity of the support relation inference and improves the accuracy.