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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 101–110 of 117 papers

TitleStatusHype
Three-Stream Convolutional Networks for Video-based Person Re-Identification—0
READ: Reciprocal Attention Discriminator for Image-to-Video Re-IdentificationCode0
Temporal Knowledge Propagation for Image-to-Video Person Re-identificationCode0
Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identificationCode0
Video-based Person Re-identification Using Spatial-Temporal Attention NetworksCode0
Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-IdentificationCode0
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-IdentificationCode0
GAF-Net: Video-Based Person Re-Identification via Appearance and Gait RecognitionsCode0
Exploiting Robust Unsupervised Video Person Re-identificationCode0
Adversarial Self-Attack Defense and Spatial-Temporal Relation Mining for Visible-Infrared Video Person Re-IdentificationCode0
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