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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 71–80 of 117 papers

TitleStatusHype
Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention—0
Video-based Person Re-identification with Accumulative Motion Context—0
Video-based Person Re-identification with Long Short-Term Representation Learning—0
Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding—0
Video Person Re-identification by Temporal Residual Learning—0
Video Person Re-identification using Attribute-enhanced Features—0
Video Person Re-Identification using Learned Clip Similarity Aggregation—0
Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding—0
VRSTC: Occlusion-Free Video Person Re-Identification—0
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification—0
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