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Video-Based Person Re-Identification

Video-based person re-identification (reID) aims to retrieve person videos with the same identity as a query person across multiple cameras

Papers

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Showing 21–30 of 117 papers

TitleStatusHype
Deep Metric Learning by Online Soft Mining and Class-Aware AttentionCode1
KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos—0
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey—0
Not Every Patch is Needed: Towards a More Efficient and Effective Backbone for Video-based Person Re-identification—0
Event-based Video Person Re-identification via Cross-Modality and Temporal Collaboration—0
Unleashing the Potential of Tracklets for Unsupervised Video Person Re-Identification—0
GAF-Net: Video-Based Person Re-Identification via Appearance and Gait RecognitionsCode0
Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification—0
From Synthetic to Real: Unveiling the Power of Synthetic Data for Video Person Re-ID—0
Image-based human re-identification: Which covariates are actually (the most) important?Code0
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