Before revision:  We find that the model with foveated texture-based input -- most akin to the human visual system -- shows similar scene classification accuracy as the reference model despite its compressed input, with greater i.i.d. generalization than the other models . Second, the foveated-texture model maintains sensitivity to high-spatial frequency information and greater robustness to occlusion properties, similar to the reference, and unlike the comparison models.
After revision:  We find that : 1) the foveated-texture model shows similar scene classification accuracy as the reference model despite its compressed input, with greater i.i.d. generalization than the other models . Second, the foveated-texture model maintains sensitivity to high-spatial frequency information and greater robustness to occlusion properties, similar to the reference, and unlike the comparison models.