Do convolutional neural networks act as compositional nearest neighbors?

Actually here the main core of this is ie, the convolutional neural networks learns a very fast compositional nearest neighbor, synthesis function for pixel type tasks, which on scientific research, shows that quantitative and qualitative evidence for the above hypothesis, hence its very true that they act as compositional nearest neighbors.