Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Micro-Expression Spotting: A Benchmark   Micro-expressions are rapid and involuntary facial expressions, which
indicate the suppressed or concealed emotions. Recently, the research on
automatic micro-expression (ME) spotting obtains increasing attention. ME
spotting is a crucial step prior to further ME analysis tasks. The spotting
results can be used as important cues to assist many other human-oriented tasks
and thus have many potential applications. In this paper, by investigating
existing ME spotting methods, we recognize the immediacy of standardizing the
performance evaluation of micro-expression spotting methods. To this end, we
construct a micro-expression spotting benchmark (MESB). Firstly, we set up a
sliding window based multi-scale evaluation framework. Secondly, we introduce a
series of protocols. Thirdly, we also provide baseline results of popular
methods. The MESB facilitates the research on ME spotting with fairer and more
comprehensive evaluation and also enables to leverage the cutting-edge machine
learning tools widely.

25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys