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. Finally, both the foveated systems, either texture or blur-based, show a stronger center image-bias relative to the spatially-uniform systems .
After 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 , w.r.t the comparison models; 3) both the foveated systems, either texture or blur-based, show a stronger center image-bias relative to the spatially-uniform systems .