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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
Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identificationCode1
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey—0
Dense Interaction Learning for Video-based Person Re-identification—0
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification—0
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach—0
A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification—0
Deep Learning for Video-based Person Re-Identification: A Survey—0
Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification—0
EgoReID Dataset: Person Re-identification in Videos Acquired by Mobile Devices with First-Person Point-of-View—0
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification—0
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