Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improving Semantic Image Segmentation via Label Fusion in Semantically
  Textured Meshes   Models for semantic segmentation require a large amount of hand-labeled
training data which is costly and time-consuming to produce. For this purpose,
we present a label fusion framework that is capable of improving semantic pixel
labels of video sequences in an unsupervised manner. We make use of a 3D mesh
representation of the environment and fuse the predictions of different frames
into a consistent representation using semantic mesh textures. Rendering the
semantic mesh using the original intrinsic and extrinsic camera parameters
yields a set of improved semantic segmentation images. Due to our optimized
CUDA implementation, we are able to exploit the entire $c$-dimensional
probability distribution of annotations over $c$ classes in an
uncertainty-aware manner. We evaluate our method on the Scannet dataset where
we improve annotations produced by the state-of-the-art segmentation network
ESANet from $52.05 \%$ to $58.25 \%$ pixel accuracy. We publish the source code
of our framework online to foster future research in this area
(\url{https://github.com/fferflo/semantic-meshes}). To the best of our
knowledge, this is the first publicly available label fusion framework for
semantic image segmentation based on meshes with semantic textures.

16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
15
The categories of this paper are: nucl-ex
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
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The categories of this paper are: dg-ga
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The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat