Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional
  Neural Network   Recently, it has been demonstrated that the performance of a deep
convolutional neural network can be effectively improved by embedding an
attention module into it. In this work, a novel lightweight and effective
attention method named Pyramid Squeeze Attention (PSA) module is proposed. By
replacing the 3x3 convolution with the PSA module in the bottleneck blocks of
the ResNet, a novel representational block named Efficient Pyramid Squeeze
Attention (EPSA) is obtained. The EPSA block can be easily added as a
plug-and-play component into a well-established backbone network, and
significant improvements on model performance can be achieved. Hence, a simple
and efficient backbone architecture named EPSANet is developed in this work by
stacking these ResNet-style EPSA blocks. Correspondingly, a stronger
multi-scale representation ability can be offered by the proposed EPSANet for
various computer vision tasks including but not limited to, image
classification, object detection, instance segmentation, etc. Without bells and
whistles, the performance of the proposed EPSANet outperforms most of the
state-of-the-art channel attention methods. As compared to the SENet-50, the
Top-1 accuracy is improved by 1.93% on ImageNet dataset, a larger margin of
+2.7 box AP for object detection and an improvement of +1.7 mask AP for
instance segmentation by using the Mask-RCNN on MS-COCO dataset are obtained.
Our source code is available at:https://github.com/murufeng/EPSANet.

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The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
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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: acc-phys
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The categories of this paper are: hep-lat
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The categories of this paper are: nlin
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The categories of this paper are: nucl-ex
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The categories of this paper are: astro-ph
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The categories of this paper are: physics
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The categories of this paper are: chem-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-th
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The categories of this paper are: bayes-an
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The categories of this paper are: eess