Convolutional Neural Networks: A Binocular Vision Perspective

21 Dec 2019Yigit OktarDiclehan KarakayaOguzhan UlucanMehmet Turkan

It is arguable that whether the single camera captured (monocular) image datasets are sufficient enough to train and test convolutional neural networks (CNNs) for imitating the biological neural network structures of the human brain. As human visual system works in binocular, the collaboration of the eyes with the two brain lobes needs more investigation for improvements in such CNN-based visual imagery analysis applications... (read more)

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