Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cloth-Changing Person Re-identification from A Single Image with Gait
  Prediction and Regularization   Cloth-Changing person re-identification (CC-ReID) aims at matching the same
person across different locations over a long-duration, e.g., over days, and
therefore inevitably meets challenge of changing clothing. In this paper, we
focus on handling well the CC-ReID problem under a more challenging setting,
i.e., just from a single image, which enables high-efficiency and latency-free
pedestrian identify for real-time surveillance applications. Specifically, we
introduce Gait recognition as an auxiliary task to drive the Image ReID model
to learn cloth-agnostic representations by leveraging personal unique and
cloth-independent gait information, we name this framework as GI-ReID. GI-ReID
adopts a two-stream architecture that consists of a image ReID-Stream and an
auxiliary gait recognition stream (Gait-Stream). The Gait-Stream, that is
discarded in the inference for high computational efficiency, acts as a
regulator to encourage the ReID-Stream to capture cloth-invariant biometric
motion features during the training. To get temporal continuous motion cues
from a single image, we design a Gait Sequence Prediction (GSP) module for
Gait-Stream to enrich gait information. Finally, a high-level semantics
consistency over two streams is enforced for effective knowledge
regularization. Experiments on multiple image-based Cloth-Changing ReID
benchmarks, e.g., LTCC, PRCC, Real28, and VC-Clothes, demonstrate that GI-ReID
performs favorably against the state-of-the-arts. Codes are available at
https://github.com/jinx-USTC/GI-ReID.

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The categories of this paper are: acc-phys
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The categories of this paper are: alg-geom
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The categories of this paper are: econ
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The categories of this paper are: math-ph
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The categories of this paper are: q-bio
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The categories of this paper are: hep-ex
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The categories of this paper are: q-fin
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The categories of this paper are: bayes-an
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The categories of this paper are: adap-org
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The categories of this paper are: comp-gas
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The categories of this paper are: cond-mat
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The categories of this paper are: supr-con
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The categories of this paper are: nlin
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The categories of this paper are: nucl-th
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-ph