Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Devil is in the Boundary: Exploiting Boundary Representation for
  Basis-based Instance Segmentation   Pursuing a more coherent scene understanding towards real-time vision
applications, single-stage instance segmentation has recently gained
popularity, achieving a simpler and more efficient design than its two-stage
counterparts. Besides, its global mask representation often leads to superior
accuracy to the two-stage Mask R-CNN which has been dominant thus far. Despite
the promising advances in single-stage methods, finer delineation of instance
boundaries still remains unexcavated. Indeed, boundary information provides a
strong shape representation that can operate in synergy with the
fully-convolutional mask features of the single-stage segmenter. In this work,
we propose Boundary Basis based Instance Segmentation(B2Inst) to learn a global
boundary representation that can complement existing global-mask-based methods
that are often lacking high-frequency details. Besides, we devise a unified
quality measure of both mask and boundary and introduce a network block that
learns to score the per-instance predictions of itself. When applied to the
strongest baselines in single-stage instance segmentation, our B2Inst leads to
consistent improvements and accurately parse out the instance boundaries in a
scene. Regardless of being single-stage or two-stage frameworks, we outperform
the existing state-of-the-art methods on the COCO dataset with the same
ResNet-50 and ResNet-101 backbones.

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The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin