Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer
  Vision   In recent years, person detection and human pose estimation have made great
strides, helped by large-scale labeled datasets. However, these datasets had no
guarantees or analysis of human activities, poses, or context diversity.
Additionally, privacy, legal, safety, and ethical concerns may limit the
ability to collect more human data. An emerging alternative to real-world data
that alleviates some of these issues is synthetic data. However, creation of
synthetic data generators is incredibly challenging and prevents researchers
from exploring their usefulness. Therefore, we release a human-centric
synthetic data generator PeopleSansPeople which contains simulation-ready 3D
human assets, a parameterized lighting and camera system, and generates 2D and
3D bounding box, instance and semantic segmentation, and COCO pose labels.
Using PeopleSansPeople, we performed benchmark synthetic data training using a
Detectron2 Keypoint R-CNN variant [1]. We found that pre-training a network
using synthetic data and fine-tuning on target real-world data (few-shot
transfer to limited subsets of COCO-person train [2]) resulted in a keypoint AP
of $60.37 \pm 0.48$ (COCO test-dev2017) outperforming models trained with the
same real data alone (keypoint AP of $55.80$) and pre-trained with ImageNet
(keypoint AP of $57.50$). This freely-available data generator should enable a
wide range of research into the emerging field of simulation to real transfer
learning in the critical area of human-centric computer vision.

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The categories of this paper are: chem-ph
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The categories of this paper are: supr-con
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The categories of this paper are: dg-ga
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-th
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The categories of this paper are: nlin
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The categories of this paper are: mtrl-th
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The categories of this paper are: chao-dyn
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The categories of this paper are: bayes-an
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The categories of this paper are: patt-sol
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The categories of this paper are: alg-geom
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The categories of this paper are: nucl-th
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The categories of this paper are: math-ph
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The categories of this paper are: eess
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The categories of this paper are: cond-mat
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The categories of this paper are: nucl-ex