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Related Experiment Video

Updated: Jul 17, 2025

Cross-Modal Multivariate Pattern Analysis
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Translation, Association and Augmentation: Learning Cross-Modality Re-Identification From Single-Modality Annotation.

Bin Yang, Jun Chen, Xianzheng Ma

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    This study introduces a new framework for unsupervised domain adaptive visible-infrared person re-identification (UDA-VI-ReID). The method effectively transfers knowledge from labeled visible data to unlabeled infrared data, outperforming existing unsupervised techniques.

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    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Visible-infrared person re-identification (VI-ReID) is crucial for surveillance but requires expensive cross-modality labels.
    • Unsupervised domain adaptation (UDA) is needed to reduce annotation costs in VI-ReID.

    Purpose of the Study:

    • To develop an unsupervised domain adaptive visible-infrared person re-identification (UDA-VI-ReID) method.
    • To eliminate the need for cross-modality annotations in VI-ReID training.

    Main Methods:

    • Proposed a Translation, Association and Augmentation (TAA) framework for UDA-VI-ReID.
    • Utilized a modality translator to generate synthetic cross-modality pairs for supervised training.
    • Introduced Robust Association and Mutual Learning (RAML) for label noise modeling.
    • Implemented Translation Supervision and Feature Augmentation (TSFA) to improve feature discriminability.

    Main Results:

    • The TAA framework significantly outperforms state-of-the-art unsupervised UDA-VI-ReID methods.
    • The proposed method achieves competitive results, even surpassing some supervised approaches.
    • Demonstrated the effectiveness of the TAA framework across various experimental settings.

    Conclusions:

    • The TAA framework provides a powerful baseline for unsupervised domain adaptive visible-infrared person re-identification.
    • The method effectively addresses the challenge of limited cross-modality labels.
    • Enables more practical and cost-effective VI-ReID systems.