Before revision: We introduce foveated perceptual systems, inspired by human biological systems, and examine the impact that this foveation stage has on the nature and robustness of subsequently learned visual representation. Specifically, these two-stage perceptual systems first foveate an image , inducing a texture-like encoding of peripheral information, which is then inputted to a convolutional neural network (CNN)and trained to perform scene categorization   .
After revision: We introduce foveated perceptual systems, inspired by  two-stage perceptual systems first foveate an image , inducing a texture-like encoding of peripheral information, which is then inputted to a convolutional neural network (CNN)and trained to perform scene categorization .