Convolutional Neural Networks (CNNs, LeCun et al. (1989, 1998)) are models inspired by how the Despite giving impressive performance in many applications, CNNs still have a long way to go in terms of being comparable to human's visual ability. The two images from the left eye and the right eye are merged and then fed into regular CNN layers.

Fig. (b) shows the performance of vanilla CNN with Fig. (c) shows that CNN The experimental settings are toy-like. ICLR'18, which considered only grayscale images. The neural network backbone is weak. The results are shown in Fig. (e). We hope our above explanation relieves your concerns, and if so, please consider raising your score.