Learning to Segment Generic Handheld Objects Using Class-Agnostic Deep Comparison and Segmentation Network
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DOI: 10.1109/lra.2018.2856917
Abstract: Learning unknown objects in the environment is important for detection and manipulation tasks. Prior to learning the unknown objects the ground-truth labels have to be provided. The data annotation or labeling can be achieved in… read more here.
Keywords: network; handheld objects; deep comparison; class agnostic ... See more keywords