Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition

6 Apr 2016Ziyan WangJiwen LuRuogu LinJianjiang FengJie zhou

In this paper, we propose a new correlated and individual multi-modal deep learning (CIMDL) method for RGB-D object recognition. Unlike most conventional RGB-D object recognition methods which extract features from the RGB and depth channels individually, our CIMDL jointly learns feature representations from raw RGB-D data with a pair of deep neural networks, so that the sharable and modal-specific information can be simultaneously exploited... (read more)

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