Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Attention Augmented Convolutional Networks   Convolutional networks have been the paradigm of choice in many computer
vision applications. The convolution operation however has a significant
weakness in that it only operates on a local neighborhood, thus missing global
information. Self-attention, on the other hand, has emerged as a recent advance
to capture long range interactions, but has mostly been applied to sequence
modeling and generative modeling tasks. In this paper, we consider the use of
self-attention for discriminative visual tasks as an alternative to
convolutions. We introduce a novel two-dimensional relative self-attention
mechanism that proves competitive in replacing convolutions as a stand-alone
computational primitive for image classification. We find in control
experiments that the best results are obtained when combining both convolutions
and self-attention. We therefore propose to augment convolutional operators
with this self-attention mechanism by concatenating convolutional feature maps
with a set of feature maps produced via self-attention. Extensive experiments
show that Attention Augmentation leads to consistent improvements in image
classification on ImageNet and object detection on COCO across many different
models and scales, including ResNets and a state-of-the art mobile constrained
network, while keeping the number of parameters similar. In particular, our
method achieves a $1.3\%$ top-1 accuracy improvement on ImageNet classification
over a ResNet50 baseline and outperforms other attention mechanisms for images
such as Squeeze-and-Excitation. It also achieves an improvement of 1.4 mAP in
COCO Object Detection on top of a RetinaNet baseline.

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The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
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The categories of this paper are: acc-phys
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The categories of this paper are: nucl-th
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio