Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Domain Invariant Siamese Attention Mask for Small Object Change
  Detection via Everyday Indoor Robot Navigation   The problem of image change detection via everyday indoor robot navigation is
explored from a novel perspective of the self-attention technique. Detecting
semantically non-distinctive and visually small changes remains a key challenge
in the robotics community. Intuitively, these small non-distinctive changes may
be better handled by the recent paradigm of the attention mechanism, which is
the basic idea of this work. However, existing self-attention models require
significant retraining cost per domain, so it is not directly applicable to
robotics applications. We propose a new self-attention technique with an
ability of unsupervised on-the-fly domain adaptation, which introduces an
attention mask into the intermediate layer of an image change detection model,
without modifying the input and output layers of the model. Experiments, in
which an indoor robot aims to detect visually small changes in everyday
navigation, demonstrate that our attention technique significantly boosts the
state-of-the-art image change detection model.

32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
16
The categories of this paper are: stat