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Video-Based Person Re-Identification
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Video-based person re-identification (reID) aims to retrieve person videos with the same identity as a query person across multiple cameras
논문
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Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey
AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification
Not Every Patch is Needed: Towards a More Efficient and Effective Backbone for Video-based Person Re-identification
Event-based Video Person Re-identification via Cross-Modality and Temporal Collaboration
Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach
Unleashing the Potential of Tracklets for Unsupervised Video Person Re-Identification
Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification
From Synthetic to Real: Unveiling the Power of Synthetic Data for Video Person Re-ID
TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification
Video-based Person Re-identification with Long Short-Term Representation Learning
TVPR: Text-to-Video Person Retrieval and a New Benchmark
Adversarial Self-Attack Defense and Spatial-Temporal Relation Mining for Visible-Infrared Video Person Re-Identification
Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification
Deep Learning for Video-based Person Re-Identification: A Survey
Aerial-Ground Person Re-ID
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification
Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification
A Benchmark of Video-Based Clothes-Changing Person Re-Identification
MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification
VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification
Pose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network
Multi-Granularity Graph Pooling for Video-based Person Re-Identification
Context Sensing Attention Network for Video-based Person Re-identification
RealGait: Gait Recognition for Person Re-Identification
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification
Keypoint Message Passing for Video-based Person Re-Identification
Exploiting Robust Unsupervised Video Person Re-identification
Video-based Person Re-identification with Spatial and Temporal Memory Networks
Video Person Re-identification using Attribute-enhanced Features
Spatio-Temporal Representation Factorization for Video-based Person Re-Identification
The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification
Unsupervised Video Person Re-identification via Noise and Hard frame Aware Clustering
Video-based Person Re-identification without Bells and Whistles
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
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