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English(EN) Blurring Modal Boundaries: A Unified Survey from Single- to Multi-Modal Person Re-ldentification

调查详细介绍了多模态行人重识别技术的进展

作者 PulseAugur 编辑部 · [2 个来源] ·

本调查论文全面概述了行人重识别（ReID）技术，超越了传统的单模态RGB图像，探索了跨模态和多模态方法。它详细介绍了可见光-红外（VI-ReID）、文本-图像（TI-ReID）、基于草图（Sketch-ReID）和非视线（NLOS）ReID的进展，讨论了融合不同传感器数据如何增强系统的鲁棒性。该论文还提出了一个基于Transformer的VI-ReID框架，并概述了未来的研究方向。 AI

影响 本次调查提供了多模态行人重识别的整合视图，可能指导监控和计算机视觉系统未来的研究和开发。

排序理由 该集群包含一篇在arXiv上发表的调查论文，详细介绍了特定计算机视觉研究领域的进展。

在 arXiv cs.CV 阅读 →

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调查详细介绍了多模态行人重识别技术的进展

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该集群包含一篇在arXiv上发表的调查论文，详细介绍了特定计算机视觉研究领域的进展。
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报道来源 [2]

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

    模糊模态边界：从单模态到多模态行人重识别的统一调查

    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 ·

    模糊模态边界：从单模态到多模态行人重识别的统一调查

    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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