Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CAR: Class-aware Regularizations for Semantic Segmentation   Recent segmentation methods, such as OCR and CPNet, utilizing "class level"
information in addition to pixel features, have achieved notable success for
boosting the accuracy of existing network modules. However, the extracted
class-level information was simply concatenated to pixel features, without
explicitly being exploited for better pixel representation learning. Moreover,
these approaches learn soft class centers based on coarse mask prediction,
which is prone to error accumulation. In this paper, aiming to use class level
information more effectively, we propose a universal Class-Aware Regularization
(CAR) approach to optimize the intra-class variance and inter-class distance
during feature learning, motivated by the fact that humans can recognize an
object by itself no matter which other objects it appears with. Three novel
loss functions are proposed. The first loss function encourages more compact
class representations within each class, the second directly maximizes the
distance between different class centers, and the third further pushes the
distance between inter-class centers and pixels. Furthermore, the class center
in our approach is directly generated from ground truth instead of from the
error-prone coarse prediction. Our method can be easily applied to most
existing segmentation models during training, including OCR and CPNet, and can
largely improve their accuracy at no additional inference overhead. Extensive
experiments and ablation studies conducted on multiple benchmark datasets
demonstrate that the proposed CAR can boost the accuracy of all baseline models
by up to 2.23% mIOU with superior generalization ability. The complete code is
available at https://github.com/edwardyehuang/CAR.

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The categories of this paper are: math-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-ph
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The categories of this paper are: q-alg
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The categories of this paper are: chao-dyn
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The categories of this paper are: eess
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-ex
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The categories of this paper are: q-bio
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The categories of this paper are: funct-an
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The categories of this paper are: cond-mat
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The categories of this paper are: gr-qc
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The categories of this paper are: cmp-lg
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The categories of this paper are: plasm-ph