Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Micro-Attention for Micro-Expression recognition   Micro-expression, for its high objectivity in emotion detection, has emerged
to be a promising modality in affective computing. Recently, deep learning
methods have been successfully introduced into the micro-expression recognition
area. Whilst the higher recognition accuracy achieved, substantial challenges
in micro-expression recognition remain. The existence of micro expression in
small-local areas on face and limited size of available databases still
constrain the recognition accuracy on such emotional facial behavior. In this
work, to tackle such challenges, we propose a novel attention mechanism called
micro-attention cooperating with residual network. Micro-attention enables the
network to learn to focus on facial areas of interest covering different action
units. Moreover, coping with small datasets, the micro-attention is designed
without adding noticeable parameters while a simple yet efficient transfer
learning approach is together utilized to alleviate the overfitting risk. With
extensive experimental evaluations on three benchmarks (CASMEII, SAMM and SMIC)
and post-hoc feature visualizations, we demonstrate the effectiveness of the
proposed micro-attention and push the boundary of automatic recognition of
micro-expression.

29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph