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Occluded Person Re-Identification
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DDRN:a Data Distribution Reconstruction Network for Occluded Person Re-Identification
ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification
Keypoint Promptable Re-Identification
Part-Attention Based Model Make Occluded Person Re-Identification Stronger
Dynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification
A Deep Hierarchical Feature Sparse Framework for Occluded Person Re-Identification
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identification
Multi-view Information Integration and Propagation for Occluded Person Re-identification
Occluded Person Re-Identification with Deep Learning: A Survey and Perspectives
Region Generation and Assessment Network for Occluded Person Re-Identification
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification
Content-Adaptive Auto-Occlusion Network for Occluded Person Re-Identification
Attention Map Guided Transformer Pruning for Edge Device
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification
Feature Completion Transformer for Occluded Person Re-identification
Learning Feature Recovery Transformer for Occluded Person Re-identification
Occluded Person Re-Identification via Relational Adaptive Feature Correction Learning
Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification
Body Part-Based Representation Learning for Occluded Person Re-Identification
Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification
Deep Learning-based Occluded Person Re-identification: A Survey
Dynamic Prototype Mask for Occluded Person Re-Identification
Motion-Aware Transformer For Occluded Person Re-identification
Short Range Correlation Transformer for Occluded Person Re-Identification
Quality-aware Part Models for Occluded Person Re-identification
Feature Erasing and Diffusion Network for Occluded Person Re-Identification
Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer
Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification
Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification
Feature Completion for Occluded Person Re-Identification
Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer
Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification
Holistic Guidance for Occluded Person Re-Identification
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