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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 51–75 of 117 papers

TitleStatusHype
PoseTrackReID: Dataset Description—0
Set Augmented Triplet Loss for Video Person Re-Identification—0
Concentrated Multi-Grained Multi-Attention Network for Video Based Person Re-Identification—0
Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification—0
Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification—0
A Flow-Guided Mutual Attention Network for Video-Based Person Re-Identification—0
Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification?—0
READ: Reciprocal Attention Discriminator for Image-to-Video Re-IdentificationCode0
Learning Person Re-identification Models from Videos with Weak Supervision—0
Temporal Complementary Learning for Video Person Re-IdentificationCode0
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
Video Person Re-Identification using Learned Clip Similarity Aggregation—0
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-IdentificationCode1
Learning to Align Multi-Camera Domains using Part-Aware Clustering for Unsupervised Video Person Re-Identification—0
Video-Based Convolutional Attention for Person Re-Identification—0
Adaptive Graph Representation Learning for Video Person Re-identificationCode0
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