Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Second Place Solution for ICCV2021 VIPriors Instance Segmentation
  Challenge   The Visual Inductive Priors(VIPriors) for Data-Efficient Computer Vision
challenges ask competitors to train models from scratch in a data-deficient
setting. In this paper, we introduce the technical details of our submission to
the ICCV2021 VIPriors instance segmentation challenge. Firstly, we designed an
effective data augmentation method to improve the problem of data-deficient.
Secondly, we conducted some experiments to select a proper model and made some
improvements for this task. Thirdly, we proposed an effective training strategy
which can improve the performance. Experimental results demonstrate that our
approach can achieve a competitive result on the test set. According to the
competition rules, we do not use any external image or video data and
pre-trained weights. The implementation details above are described in section
2 and section 3. Finally, our approach can achieve 40.2\%AP@0.50:0.95 on the
test set of ICCV2021 VIPriors instance segmentation challenge.

19
The categories of this paper are: eess
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con