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Visible-Infrared Cross-Modal Person Re-identification based on Positive Feedback

Published: 10 January 2022 Publication History

Abstract

Visible-infrared person re-identification (VI-ReID) is undoubtedly a challenging cross-modality person retrieval task with increasing appreciation. Compared to traditional person ReID that focuses on person images in a single RGB mode, VI-ReID suffers from additional cross-modality discrepancy due to the different imaging processes of spectrum cameras. Several effective attempts have been made in recent years to narrow cross-modality gap aiming to improve the re-identification performance, but rarely study the key problem of optimizing the search results combined with relevant feedback. In this paper, we present the idea of cross-modality visible-infrared person re-identification combined with human positive feedback. This method allows the user to quickly optimize the search performance by selecting strong positive samples during the re-identification process. We have validated the effectiveness of our method on a public dataset, SYSU-MM01, and results confirmed that the proposed method achieved superior performance compared to the current state-of-the-art methods.

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Cited By

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  • (2024)Explore Hybrid Modeling for Moving Infrared Small Target DetectionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680887(6172-6181)Online publication date: 28-Oct-2024
  • (2022)Exploring Feature Compensation and Cross-level Correlation for Infrared Small Target DetectionProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3548264(1857-1865)Online publication date: 10-Oct-2022
  • (2022)RKformer: Runge-Kutta Transformer with Random-Connection Attention for Infrared Small Target DetectionProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3547817(1730-1738)Online publication date: 10-Oct-2022

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      cover image ACM Conferences
      MMAsia '21: Proceedings of the 3rd ACM International Conference on Multimedia in Asia
      December 2021
      508 pages
      ISBN:9781450386074
      DOI:10.1145/3469877
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 10 January 2022

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      Author Tags

      1. Cross-modality
      2. Person Re-identification
      3. Relevant feedback

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      MMAsia '21: ACM Multimedia Asia
      December 1 - 3, 2021
      Gold Coast, Australia

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      Overall Acceptance Rate 59 of 204 submissions, 29%

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      Cited By

      View all
      • (2024)Explore Hybrid Modeling for Moving Infrared Small Target DetectionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680887(6172-6181)Online publication date: 28-Oct-2024
      • (2022)Exploring Feature Compensation and Cross-level Correlation for Infrared Small Target DetectionProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3548264(1857-1865)Online publication date: 10-Oct-2022
      • (2022)RKformer: Runge-Kutta Transformer with Random-Connection Attention for Infrared Small Target DetectionProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3547817(1730-1738)Online publication date: 10-Oct-2022

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