Joint Robust Representation And Generalization Enhancement For Cross-Modality Person Re-Identification

Heqing CHENG, Yong FENG*, Mingliang ZHOU*, Xiancai XIONG, Baohua QIANG, Yongheng WANG

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

Abstract

Cross-modality person re-identification (cm-ReID) aims to match pedestrian images from visible and infrared cameras. Most existing methods ignore data bias due to different cameras and views and overlook the strong dependence between feature maps that hinders modal alignment. In this paper, we propose a unified method named Joint Robust Representation and Generalization Enhancement (RRGE) to alleviate the above issues. First, we propose a robust representation module (RRM), which can improve the model's robustness for the global context, camera, and view change perturbations. Second, we propose a generalization enhancement module (GEM), which uses channel-level dropout to alleviate the dependencies between feature maps to improve the model's generalization. Moreover, we balance the number of different modalities in each batch. Our method outperforms other state-of-the-art methods in terms of cross-modality person re-identification tasks.

Original languageEnglish
Title of host publicationICASSP 2023 : 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781728163277
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, Greece
Duration: 4 Jun 202310 Jun 2023

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2023-June
ISSN (Print)1520-6149

Conference

Conference48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Country/TerritoryGreece
CityRhodes Island
Period4/06/2310/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Bias mitigation
  • Cross-modality
  • Person re-identification
  • Robust representation

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