Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SipMask: Spatial Information Preservation for Fast Image and Video
  Instance Segmentation   Single-stage instance segmentation approaches have recently gained popularity
due to their speed and simplicity, but are still lagging behind in accuracy,
compared to two-stage methods. We propose a fast single-stage instance
segmentation method, called SipMask, that preserves instance-specific spatial
information by separating mask prediction of an instance to different
sub-regions of a detected bounding-box. Our main contribution is a novel
light-weight spatial preservation (SP) module that generates a separate set of
spatial coefficients for each sub-region within a bounding-box, leading to
improved mask predictions. It also enables accurate delineation of spatially
adjacent instances. Further, we introduce a mask alignment weighting loss and a
feature alignment scheme to better correlate mask prediction with object
detection. On COCO test-dev, our SipMask outperforms the existing single-stage
methods. Compared to the state-of-the-art single-stage TensorMask, SipMask
obtains an absolute gain of 1.0% (mask AP), while providing a four-fold
speedup. In terms of real-time capabilities, SipMask outperforms YOLACT with an
absolute gain of 3.0% (mask AP) under similar settings, while operating at
comparable speed on a Titan Xp. We also evaluate our SipMask for real-time
video instance segmentation, achieving promising results on YouTube-VIS
dataset. The source code is available at
https://github.com/JialeCao001/SipMask.

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The categories of this paper are: solv-int
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The categories of this paper are: mtrl-th
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The categories of this paper are: supr-con
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The categories of this paper are: q-alg
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The categories of this paper are: q-fin
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The categories of this paper are: atom-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: chem-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: funct-an
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The categories of this paper are: alg-geom
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The categories of this paper are: math
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The categories of this paper are: cond-mat
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The categories of this paper are: dg-ga
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The categories of this paper are: cmp-lg
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The categories of this paper are: adap-org