Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: EfficientHRNet: Efficient Scaling for Lightweight High-Resolution
  Multi-Person Pose Estimation   There is an increasing demand for lightweight multi-person pose estimation
for many emerging smart IoT applications. However, the existing algorithms tend
to have large model sizes and intense computational requirements, making them
ill-suited for real-time applications and deployment on resource-constrained
hardware. Lightweight and real-time approaches are exceedingly rare and come at
the cost of inferior accuracy. In this paper, we present EfficientHRNet, a
family of lightweight multi-person human pose estimators that are able to
perform in real-time on resource-constrained devices. By unifying recent
advances in model scaling with high-resolution feature representations,
EfficientHRNet creates highly accurate models while reducing computation enough
to achieve real-time performance. The largest model is able to come within 4.4%
accuracy of the current state-of-the-art, while having 1/3 the model size and
1/6 the computation, achieving 23 FPS on Nvidia Jetson Xavier. Compared to the
top real-time approach, EfficientHRNet increases accuracy by 22% while
achieving similar FPS with 1/3 the power. At every level, EfficientHRNet proves
to be more computationally efficient than other bottom-up 2D human pose
estimation approaches, while achieving highly competitive accuracy.

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The categories of this paper are: dg-ga
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-lat
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The categories of this paper are: patt-sol
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The categories of this paper are: nlin
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The categories of this paper are: quant-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: chem-ph