Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: TVConv: Efficient Translation Variant Convolution for Layout-aware
  Visual Processing   As convolution has empowered many smart applications, dynamic convolution
further equips it with the ability to adapt to diverse inputs. However, the
static and dynamic convolutions are either layout-agnostic or
computation-heavy, making it inappropriate for layout-specific applications,
e.g., face recognition and medical image segmentation. We observe that these
applications naturally exhibit the characteristics of large intra-image
(spatial) variance and small cross-image variance. This observation motivates
our efficient translation variant convolution (TVConv) for layout-aware visual
processing. Technically, TVConv is composed of affinity maps and a
weight-generating block. While affinity maps depict pixel-paired relationships
gracefully, the weight-generating block can be explicitly overparameterized for
better training while maintaining efficient inference. Although conceptually
simple, TVConv significantly improves the efficiency of the convolution and can
be readily plugged into various network architectures. Extensive experiments on
face recognition show that TVConv reduces the computational cost by up to 3.1x
and improves the corresponding throughput by 2.3x while maintaining a high
accuracy compared to the depthwise convolution. Moreover, for the same
computation cost, we boost the mean accuracy by up to 4.21%. We also conduct
experiments on the optic disc/cup segmentation task and obtain better
generalization performance, which helps mitigate the critical data scarcity
issue. Code is available at https://github.com/JierunChen/TVConv.

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The categories of this paper are: q-fin
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The categories of this paper are: ao-sci
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-lat
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The categories of this paper are: dg-ga
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The categories of this paper are: supr-con
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The categories of this paper are: hep-ph
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The categories of this paper are: adap-org
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The categories of this paper are: math
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The categories of this paper are: econ
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The categories of this paper are: astro-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: hep-th
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The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
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The categories of this paper are: q-bio