Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the use of Cortical Magnification and Saccades as Biological Proxies
  for Data Augmentation   Self-supervised learning is a powerful way to learn useful representations
from natural data. It has also been suggested as one possible means of building
visual representation in humans, but the specific objective and algorithm are
unknown. Currently, most self-supervised methods encourage the system to learn
an invariant representation of different transformations of the same image in
contrast to those of other images. However, such transformations are generally
non-biologically plausible, and often consist of contrived perceptual schemes
such as random cropping and color jittering. In this paper, we attempt to
reverse-engineer these augmentations to be more biologically or perceptually
plausible while still conferring the same benefits for encouraging robust
representation. Critically, we find that random cropping can be substituted by
cortical magnification, and saccade-like sampling of the image could also
assist the representation learning. The feasibility of these transformations
suggests a potential way that biological visual systems could implement
self-supervision. Further, they break the widely accepted spatially-uniform
processing assumption used in many computer vision algorithms, suggesting a
role for spatially-adaptive computation in humans and machines alike. Our code
and demo can be found here.

22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con