Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet
  Core55   We introduce a large-scale 3D shape understanding benchmark using data and
annotation from ShapeNet 3D object database. The benchmark consists of two
tasks: part-level segmentation of 3D shapes and 3D reconstruction from single
view images. Ten teams have participated in the challenge and the best
performing teams have outperformed state-of-the-art approaches on both tasks. A
few novel deep learning architectures have been proposed on various 3D
representations on both tasks. We report the techniques used by each team and
the corresponding performances. In addition, we summarize the major discoveries
from the reported results and possible trends for the future work in the field.

12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org