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Occluded Person Re-Identification

Occluded Person Re-Identification (ReID) is a person retrieval task closely related to Person Re-Identification that involves matching occluded individuals based on their appearance.

Papers

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Showing 1–46 of 46 papers

TitleStatusHype
Exploring Stronger Transformer Representation Learning for Occluded Person Re-Identification—0
DDRN:a Data Distribution Reconstruction Network for Occluded Person Re-Identification—0
ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-IdentificationCode1
Keypoint Promptable Re-IdentificationCode3
Part-Attention Based Model Make Occluded Person Re-Identification Stronger—0
Dynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification—0
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identificationCode0
A Deep Hierarchical Feature Sparse Framework for Occluded Person Re-Identification—0
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identificationCode0
Multi-view Information Integration and Propagation for Occluded Person Re-identificationCode0
Occluded Person Re-Identification with Deep Learning: A Survey and Perspectives—0
Region Generation and Assessment Network for Occluded Person Re-Identification—0
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-IdentificationCode0
Content-Adaptive Auto-Occlusion Network for Occluded Person Re-IdentificationCode0
Attention Map Guided Transformer Pruning for Edge DeviceCode0
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification—0
Feature Completion Transformer for Occluded Person Re-identification—0
Learning Feature Recovery Transformer for Occluded Person Re-identificationCode1
Human Co-Parsing Guided Alignment for Occluded Person Re-identificationCode1
Occluded Person Re-Identification via Relational Adaptive Feature Correction Learning—0
Dynamic Feature Pruning and Consolidation for Occluded Person Re-IdentificationCode1
Body Part-Based Representation Learning for Occluded Person Re-IdentificationCode2
Parallel Augmentation and Dual Enhancement for Occluded Person Re-identificationCode1
Deep Learning-based Occluded Person Re-identification: A Survey—0
Dynamic Prototype Mask for Occluded Person Re-IdentificationCode1
Motion-Aware Transformer For Occluded Person Re-identification—0
Short Range Correlation Transformer for Occluded Person Re-Identification—0
Quality-aware Part Models for Occluded Person Re-identification—0
Feature Erasing and Diffusion Network for Occluded Person Re-IdentificationCode1
Pose-guided Feature Disentangling for Occluded Person Re-identification Based on TransformerCode1
Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-IdentificationCode1
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification—0
Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification—0
Feature Completion for Occluded Person Re-IdentificationCode0
Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer—0
Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification—0
Holistic Guidance for Occluded Person Re-IdentificationCode0
Occluded Person Re-Identification With Single-Scale Global Representations—0
Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification—0
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-IdentificationCode1
Pose-guided Visible Part Matching for Occluded Person ReIDCode1
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-IdentificationCode1
Pose-Guided Feature Alignment for Occluded Person Re-IdentificationCode0
A Novel Teacher-Student Learning Framework For Occluded Person Re-Identification—0
Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification—0
Occluded Person Re-identification—0
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