Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: To Fall Or Not To Fall: A Visual Approach to Physical Stability
  Prediction   Understanding physical phenomena is a key competence that enables humans and
animals to act and interact under uncertain perception in previously unseen
environments containing novel object and their configurations. Developmental
psychology has shown that such skills are acquired by infants from observations
at a very early stage.
  In this paper, we contrast a more traditional approach of taking a
model-based route with explicit 3D representations and physical simulation by
an end-to-end approach that directly predicts stability and related quantities
from appearance. We ask the question if and to what extent and quality such a
skill can directly be acquired in a data-driven way bypassing the need for an
explicit simulation.
  We present a learning-based approach based on simulated data that predicts
stability of towers comprised of wooden blocks under different conditions and
quantities related to the potential fall of the towers. The evaluation is
carried out on synthetic data and compared to human judgments on the same
stimuli.

8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph