Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Eigen-Distortions of Hierarchical Representations   We develop a method for comparing hierarchical image representations in terms
of their ability to explain perceptual sensitivity in humans. Specifically, we
utilize Fisher information to establish a model-derived prediction of
sensitivity to local perturbations of an image. For a given image, we compute
the eigenvectors of the Fisher information matrix with largest and smallest
eigenvalues, corresponding to the model-predicted most- and least-noticeable
image distortions, respectively. For human subjects, we then measure the amount
of each distortion that can be reliably detected when added to the image. We
use this method to test the ability of a variety of representations to mimic
human perceptual sensitivity. We find that the early layers of VGG16, a deep
neural network optimized for object recognition, provide a better match to
human perception than later layers, and a better match than a 4-stage
convolutional neural network (CNN) trained on a database of human ratings of
distorted image quality. On the other hand, we find that simple models of early
visual processing, incorporating one or more stages of local gain control,
trained on the same database of distortion ratings, provide substantially
better predictions of human sensitivity than either the CNN, or any combination
of layers of VGG16.

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The categories of this paper are: physics
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
16
The categories of this paper are: stat
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
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The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: funct-an
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The categories of this paper are: q-alg
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The categories of this paper are: solv-int
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The categories of this paper are: econ