Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot
  Video Object Segmentation   Location and appearance are the key cues for video object segmentation. Many
sources such as RGB, depth, optical flow and static saliency can provide useful
information about the objects. However, existing approaches only utilize the
RGB or RGB and optical flow. In this paper, we propose a novel multi-source
fusion network for zero-shot video object segmentation. With the help of
interoceptive spatial attention module (ISAM), spatial importance of each
source is highlighted. Furthermore, we design a feature purification module
(FPM) to filter the inter-source incompatible features. By the ISAM and FPM,
the multi-source features are effectively fused. In addition, we put forward an
automatic predictor selection network (APS) to select the better prediction of
either the static saliency predictor or the moving object predictor in order to
prevent over-reliance on the failed results caused by low-quality optical flow
maps. Extensive experiments on three challenging public benchmarks (i.e.
DAVIS$_{16}$, Youtube-Objects and FBMS) show that the proposed model achieves
compelling performance against the state-of-the-arts. The source code will be
publicly available at
\textcolor{red}{\url{https://github.com/Xiaoqi-Zhao-DLUT/Multi-Source-APS-ZVOS}}.

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The categories of this paper are: stat
20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci