Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: GaitEdge: Beyond Plain End-to-end Gait Recognition for Better
  Practicality   Gait is one of the most promising biometrics to identify individuals at a
long distance. Although most previous methods have focused on recognizing the
silhouettes, several end-to-end methods that extract gait features directly
from RGB images perform better. However, we argue that these end-to-end methods
inevitably suffer from the gait-unrelated noises, i.e., low-level texture and
colorful information. Experimentally, we design both the cross-domain
evaluation and visualization to stand for this view. In this work, we propose a
novel end-to-end framework named GaitEdge which can effectively block
gait-unrelated information and release end-to-end training potential.
Specifically, GaitEdge synthesizes the output of the pedestrian segmentation
network and then feeds it to the subsequent recognition network, where the
synthetic silhouettes consist of trainable edges of bodies and fixed interiors
to limit the information that the recognition network receives. Besides,
GaitAlign for aligning silhouettes is embedded into the GaitEdge without loss
of differentiability. Experimental results on CASIA-B and our newly built
TTG-200 indicate that GaitEdge significantly outperforms the previous methods
and provides a more practical end-to-end paradigm for blocking RGB noises
effectively. All the source code will be released.

18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th