Emergence of foveal image sampling from learning to attend in visual scenes
B Cheung, E Weiss, B Olshausen - arXiv preprint arXiv:1611.09430, 2016 - arxiv.org
We describe a neural attention model with a learnable retinal sampling lattice. The model is
trained on a visual search task requiring the classification of an object embedded in a visual
scene amidst background distractors using the smallest number of fixations. We explore the
tiling properties that emerge in the model's retinal sampling lattice after training. Specifically,
we show that this lattice resembles the eccentricity dependent sampling lattice of the primate
retina, with a high resolution region in the fovea surrounded by a low resolution periphery …
trained on a visual search task requiring the classification of an object embedded in a visual
scene amidst background distractors using the smallest number of fixations. We explore the
tiling properties that emerge in the model's retinal sampling lattice after training. Specifically,
we show that this lattice resembles the eccentricity dependent sampling lattice of the primate
retina, with a high resolution region in the fovea surrounded by a low resolution periphery …
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