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and Segmentation”, a significant improvement was observed: with state-of-the-art 2D R-CNN, the mean average precision was 22.5% while compared to a RGB-D deep neural network with a mean average precision of 37.5%. Deep learning with RGB-D has attracted many researchers, and several institutions