Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quo Vadis, Skeleton Action Recognition ?   In this paper, we study current and upcoming frontiers across the landscape
of skeleton-based human action recognition. To study skeleton-action
recognition in the wild, we introduce Skeletics-152, a curated and 3-D
pose-annotated subset of RGB videos sourced from Kinetics-700, a large-scale
action dataset. We extend our study to include out-of-context actions by
introducing Skeleton-Mimetics, a dataset derived from the recently introduced
Mimetics dataset. We also introduce Metaphorics, a dataset with caption-style
annotated YouTube videos of the popular social game Dumb Charades and
interpretative dance performances. We benchmark state-of-the-art models on the
NTU-120 dataset and provide multi-layered assessment of the results. The
results from benchmarking the top performers of NTU-120 on the newly introduced
datasets reveal the challenges and domain gap induced by actions in the wild.
Overall, our work characterizes the strengths and limitations of existing
approaches and datasets. Via the introduced datasets, our work enables new
frontiers for human action recognition.

14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph