Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Camera Distortion-aware 3D Human Pose Estimation in Video with
  Optimization-based Meta-Learning   Existing 3D human pose estimation algorithms trained on distortion-free
datasets suffer performance drop when applied to new scenarios with a specific
camera distortion. In this paper, we propose a simple yet effective model for
3D human pose estimation in video that can quickly adapt to any distortion
environment by utilizing MAML, a representative optimization-based
meta-learning algorithm. We consider a sequence of 2D keypoints in a particular
distortion as a single task of MAML. However, due to the absence of a
large-scale dataset in a distorted environment, we propose an efficient method
to generate synthetic distorted data from undistorted 2D keypoints. For the
evaluation, we assume two practical testing situations depending on whether a
motion capture sensor is available or not. In particular, we propose Inference
Stage Optimization using bone-length symmetry and consistency. Extensive
evaluation shows that our proposed method successfully adapts to various
degrees of distortion in the testing phase and outperforms the existing
state-of-the-art approaches. The proposed method is useful in practice because
it does not require camera calibration and additional computations in a testing
set-up.

8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th