Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Effective Pipeline for a Real-world Clothes Retrieval System   In this paper, we propose an effective pipeline for clothes retrieval system
which has sturdiness on large-scale real-world fashion data. Our proposed
method consists of three components: detection, retrieval, and post-processing.
We firstly conduct a detection task for precise retrieval on target clothes,
then retrieve the corresponding items with the metric learning-based model. To
improve the retrieval robustness against noise and misleading bounding boxes,
we apply post-processing methods such as weighted boxes fusion and feature
concatenation. With the proposed methodology, we achieved 2nd place in the
DeepFashion2 Clothes Retrieval 2020 challenge.

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The categories of this paper are: stat
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
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The categories of this paper are: comp-gas
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
19
The categories of this paper are: eess