Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall
  Representations   We propose BAPose, a novel bottom-up approach that achieves state-of-the-art
results for multi-person pose estimation. Our end-to-end trainable framework
leverages a disentangled multi-scale waterfall architecture and incorporates
adaptive convolutions to infer keypoints more precisely in crowded scenes with
occlusions. The multi-scale representations, obtained by the disentangled
waterfall module in BAPose, leverage the efficiency of progressive filtering in
the cascade architecture, while maintaining multi-scale fields-of-view
comparable to spatial pyramid configurations. Our results on the challenging
COCO and CrowdPose datasets demonstrate that BAPose is an efficient and robust
framework for multi-person pose estimation, achieving significant improvements
on state-of-the-art accuracy.

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The categories of this paper are: nucl-th
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-ex
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The categories of this paper are: comp-gas
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The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: math-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: math
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The categories of this paper are: econ
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The categories of this paper are: adap-org
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The categories of this paper are: atom-ph
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The categories of this paper are: hep-th