Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Neighbourhood-guided Feature Reconstruction for Occluded Person
  Re-Identification   Person images captured by surveillance cameras are often occluded by various
obstacles, which lead to defective feature representation and harm person
re-identification (Re-ID) performance. To tackle this challenge, we propose to
reconstruct the feature representation of occluded parts by fully exploiting
the information of its neighborhood in a gallery image set. Specifically, we
first introduce a visible part-based feature by body mask for each person
image. Then we identify its neighboring samples using the visible features and
reconstruct the representation of the full body by an outlier-removable graph
neural network with all the neighboring samples as input. Extensive experiments
show that the proposed approach obtains significant improvements. In the
large-scale Occluded-DukeMTMC benchmark, our approach achieves 64.2% mAP and
67.6% rank-1 accuracy which outperforms the state-of-the-art approaches by
large margins, i.e.,20.4% and 12.5%, respectively, indicating the effectiveness
of our method on occluded Re-ID problem.

13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
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The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph