Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Image-based OoD-Detector Principles on Graph-based Input Data in Human
  Action Recognition   Living in a complex world like ours makes it unacceptable that a practical
implementation of a machine learning system assumes a closed world. Therefore,
it is necessary for such a learning-based system in a real world environment,
to be aware of its own capabilities and limits and to be able to distinguish
between confident and unconfident results of the inference, especially if the
sample cannot be explained by the underlying distribution. This knowledge is
particularly essential in safety-critical environments and tasks e.g.
self-driving cars or medical applications. Towards this end, we transfer
image-based Out-of-Distribution (OoD)-methods to graph-based data and show the
applicability in action recognition. The contribution of this work is (i) the
examination of the portability of recent image-based OoD-detectors for
graph-based input data, (ii) a Metric Learning-based approach to detect
OoD-samples, and (iii) the introduction of a novel semi-synthetic action
recognition dataset. The evaluation shows that image-based OoD-methods can be
applied to graph-based data. Additionally, there is a gap between the
performance on intraclass and intradataset results. First methods as the
examined baseline or ODIN provide reasonable results. More sophisticated
network architectures - in contrast to their image-based application - were
surpassed in the intradataset comparison and even lead to less classification
accuracy.

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The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
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The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
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The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
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The categories of this paper are: funct-an
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The categories of this paper are: quant-ph
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The categories of this paper are: math-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: math