Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer   Domain randomisation is a very popular method for visual sim-to-real transfer
in robotics, due to its simplicity and ability to achieve transfer without any
real-world images at all. Nonetheless, a number of design choices must be made
to achieve optimal transfer. In this paper, we perform a comprehensive
benchmarking study on these different choices, with two key experiments
evaluated on a real-world object pose estimation task. First, we study the
rendering quality, and find that a small number of high-quality images is
superior to a large number of low-quality images. Second, we study the type of
randomisation, and find that both distractors and textures are important for
generalisation to novel environments.

12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex