Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Suppressing Uncertainties for Large-Scale Facial Expression Recognition   Annotating a qualitative large-scale facial expression dataset is extremely
difficult due to the uncertainties caused by ambiguous facial expressions,
low-quality facial images, and the subjectiveness of annotators. These
uncertainties lead to a key challenge of large-scale Facial Expression
Recognition (FER) in deep learning era. To address this problem, this paper
proposes a simple yet efficient Self-Cure Network (SCN) which suppresses the
uncertainties efficiently and prevents deep networks from over-fitting
uncertain facial images. Specifically, SCN suppresses the uncertainty from two
different aspects: 1) a self-attention mechanism over mini-batch to weight each
training sample with a ranking regularization, and 2) a careful relabeling
mechanism to modify the labels of these samples in the lowest-ranked group.
Experiments on synthetic FER datasets and our collected WebEmotion dataset
validate the effectiveness of our method. Results on public benchmarks
demonstrate that our SCN outperforms current state-of-the-art methods with
\textbf{88.14}\% on RAF-DB, \textbf{60.23}\% on AffectNet, and \textbf{89.35}\%
on FERPlus. The code will be available at
\href{https://github.com/kaiwang960112/Self-Cure-Network}{https://github.com/kaiwang960112/Self-Cure-Network}.

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The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
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The categories of this paper are: alg-geom
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
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The categories of this paper are: econ
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
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The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int