MaskFlownet

GeneralIntroduced 20001 papers

Description

MaskFlownet is an asymmetric occlusion-aware feature matching module, which can learn a rough occlusion mask that filters useless (occluded) areas immediately after feature warping without any explicit supervision. The learned occlusion mask can be further fed into a subsequent network cascade with dual feature pyramids.

Papers Using This Method