Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning Fast and Robust Target Models for Video Object Segmentation   Video object segmentation (VOS) is a highly challenging problem since the
initial mask, defining the target object, is only given at test-time. The main
difficulty is to effectively handle appearance changes and similar background
objects, while maintaining accurate segmentation. Most previous approaches
fine-tune segmentation networks on the first frame, resulting in impractical
frame-rates and risk of overfitting. More recent methods integrate generative
target appearance models, but either achieve limited robustness or require
large amounts of training data.
  We propose a novel VOS architecture consisting of two network components. The
target appearance model consists of a light-weight module, which is learned
during the inference stage using fast optimization techniques to predict a
coarse but robust target segmentation. The segmentation model is exclusively
trained offline, designed to process the coarse scores into high quality
segmentation masks. Our method is fast, easily trainable and remains highly
effective in cases of limited training data. We perform extensive experiments
on the challenging YouTube-VOS and DAVIS datasets. Our network achieves
favorable performance, while operating at higher frame-rates compared to
state-of-the-art. Code and trained models are available at
https://github.com/andr345/frtm-vos.

23
The categories of this paper are: solv-int
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
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The categories of this paper are: nucl-ex
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The categories of this paper are: eess
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The categories of this paper are: comp-gas
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The categories of this paper are: quant-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: econ