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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 61–70 of 117 papers

TitleStatusHype
Appearance-Preserving 3D Convolution for Video-based Person Re-identificationCode1
Robust Re-Identification by Multiple Views Knowledge DistillationCode1
A Symbolic Temporal Pooling method for Video-based Person Re-IdentificationCode0
Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identificationCode1
Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification—0
Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-based Person Re-identification—0
Video-based Person Re-Identification using Gated Convolutional Recurrent Neural Networks—0
Ordered or Orderless: A Revisit for Video based Person Re-Identification—0
Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time AspectCode1
Video Person Re-ID: Fantastic Techniques and Where to Find ThemCode1
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