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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 101–117 of 117 papers

TitleStatusHype
SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification—0
Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention—0
A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification—0
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning—0
Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding—0
Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification—0
Video Person Re-identification by Temporal Residual Learning—0
Three-Stream Convolutional Networks for Video-based Person Re-Identification—0
Stepwise Metric Promotion for Unsupervised Video Person Re-Identification—0
Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-IdentificationCode0
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification—0
Video-based Person Re-identification with Accumulative Motion ContextCode0
Learning Compact Appearance Representation for Video-based Person Re-Identification—0
Video-based Person Re-identification with Accumulative Motion Context—0
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach—0
Recurrent Convolutional Network for Video-Based Person Re-Identification—0
Top-push Video-based Person Re-identification—0
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