Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Panoptic 3D Parsing for Single Image in the Wild   Performing single image holistic understanding and 3D reconstruction is a
central task in computer vision. This paper presents an integrated system that
performs dense scene labeling, object detection, instance segmentation, depth
estimation, 3D shape reconstruction, and 3D layout estimation for indoor and
outdoor scenes from a single RGB image. We name our system panoptic 3D parsing
(Panoptic3D) in which panoptic segmentation ("stuff" segmentation and "things"
detection/segmentation) with 3D reconstruction is performed. We design a
stage-wise system, Panoptic3D (stage-wise), where a complete set of annotations
is absent. Additionally, we present an end-to-end pipeline, Panoptic3D
(end-to-end), trained on a synthetic dataset with a full set of annotations. We
show results on both indoor (3D-FRONT) and outdoor (COCO and Cityscapes)
scenes. Our proposed panoptic 3D parsing framework points to a promising
direction in computer vision. Panoptic3D can be applied to a variety of
applications, including autonomous driving, mapping, robotics, design, computer
graphics, robotics, human-computer interaction, and augmented reality.

14
The categories of this paper are: math-ph
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc