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Survey details advancements in multi-modal person re-identification techniques

By PulseAugur Editorial · [2 sources] ·

This survey paper provides a comprehensive overview of person re-identification (ReID) techniques, moving beyond traditional single-modal RGB imagery to explore cross-modal and multi-modal approaches. It details advancements in visible-infrared (VI-ReID), text-image (TI-ReID), sketch-based (Sketch-ReID), and Non-Line-of-Sight (NLOS) ReID, discussing how fusing diverse sensor data enhances system robustness. The paper also proposes a Transformer-based framework for VI-ReID and outlines future research directions. AI

IMPACT This survey provides a consolidated view of multi-modal person re-identification, potentially guiding future research and development in surveillance and computer vision systems.

RANK_REASON The cluster contains a survey paper published on arXiv detailing advancements in a specific computer vision research area.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Survey details advancements in multi-modal person re-identification techniques

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The cluster contains a survey paper published on arXiv detailing advancements in a specific computer vision research area.
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Xiao Wang, Bing Wang, Bin Yang, Cuiqun Chen, Xin Xu, Mang Ye ·

    Blurring Modal Boundaries: A Unified Survey from Single- to Multi-Modal Person Re-ldentification

    arXiv:2607.14821v1 Announce Type: new Abstract: Person re-identification (ReID) serves as a critical component in intelligent surveillance systems, aiming to match identities across disjoint camera networks. While traditional methods primarily rely on single-modal RGB imagery, th…

  2. arXiv cs.CV TIER_1 English(EN) · Mang Ye ·

    Blurring Modal Boundaries: A Unified Survey from Single- to Multi-Modal Person Re-ldentification

    Person re-identification (ReID) serves as a critical component in intelligent surveillance systems, aiming to match identities across disjoint camera networks. While traditional methods primarily rely on single-modal RGB imagery, they are often constrained by environmental challe…

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