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Person Re-Identification
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Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
WhoFi: Deep Person Re-Identification via Wi-Fi Channel Signal Encoding
Weakly Supervised Visible-Infrared Person Re-Identification via Heterogeneous Expert Collaborative Consistency Learning
Mind the Gap: Bridging Occlusion in Gait Recognition via Residual Gap Correction
Try Harder: Hard Sample Generation and Learning for Clothes-Changing Person Re-ID
KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos
Following the Clues: Experiments on Person Re-ID using Cross-Modal Intelligence
Evolution of ReID: From Early Methods to LLM Integration
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
Domain Generalization for Person Re-identification: A Survey Towards Domain-Agnostic Person Matching
ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model
Cross-Spectral Body Recognition with Side Information Embedding: Benchmarks on LLCM and Analyzing Range-Induced Occlusions on IJB-MDF
Colors See Colors Ignore: Clothes Changing ReID with Color Disentanglement (ICCV-25 🥳)
Person Re-Identification System at Semantic Level based on Pedestrian Attributes Ontology
S3CE-Net: Spike-guided Spatiotemporal Semantic Coupling and Expansion Network for Long Sequence Event Re-Identification
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey
DART$^3$: Leveraging Distance for Test Time Adaptation in Person Re-Identification
Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification
Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReID
Differentiable Channel Selection in Self-Attention For Person Re-Identification
OptiGait-LGBM: An Efficient Approach of Gait-based Person Re-identification in Non-Overlapping Regions
Multilinear subspace learning for person re-identification based fusion of high order tensor features
DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition
Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification
Robust Duality Learning for Unsupervised Visible-Infrared Person Re-Identification
Diverse Semantics-Guided Feature Alignment and Decoupling for Visible-Infrared Person Re-Identification
Person detection and re-identification in open-world settings of retail stores and public spaces
Semantic-Aligned Learning with Collaborative Refinement for Unsupervised VI-ReID
Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identification
Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data
Neighbor-Based Feature and Index Enhancement for Person Re-Identification
TransitReID: Transit OD Data Collection with Occlusion-Resistant Dynamic Passenger Re-Identification
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
SD-ReID: View-aware Stable Diffusion for Aerial-Ground Person Re-Identification
LATex: Leveraging Attribute-based Text Knowledge for Aerial-Ground Person Re-Identification
DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.