Generalizable Person Re-identification
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Benchmarks
Most implemented
Semi-Supervised Domain Generalizable Person Re-Identification
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification
Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification
Papers
Multimodal LLM-Empowered Re-Ranking for Generalizable Person Re-Identification
Domain Generalizable (DG) person re-identification (Re-ID) has attracted growing research interest due to its potential for deployment in unseen real-world scenarios. Most existing approaches address DG Re-ID by focusing…
Generalizable Person Re-identificationDynaMix: Generalizable Person Re-identification via Dynamic Relabeling and Mixed Data Sampling
Generalizable person re-identification (Re-ID) aims to recognize individuals across unseen cameras and environments. While existing methods rely heavily on limited labeled multi-camera data, we propose DynaMix, a novel m…
Generalizable Person Re-identificationFollowing the Clues: Experiments on Person Re-ID using Cross-Modal Intelligence
The collection and release of street-level recordings as Open Data play a vital role in advancing autonomous driving systems and AI research. However, these datasets pose significant privacy risks, particularly for pedes…
Autonomous DrivingGeneralizable Person Re-identificationGraph AttentionPerson Re-Identification+1Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification
Domain-generalizable re-identification (DG Re-ID) aims to train a model on one or more source domains and evaluate its performance on unseen target domains, a task that has attracted growing attention due to its practica…
Contrastive LearningGeneralizable Person Re-identificationPerson Re-IdentificationRepresentation LearningCILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification
The Visual Language Model, known for its robust cross-modal capabilities, has been extensively applied in various computer vision tasks. In this paper, we explore the use of CLIP (Contrastive Language-Image Pretraining),…
Generalizable Person Re-identificationLanguage ModelingLanguage ModellingPerson Re-IdentificationGeneralizable Person Re-identification via Balancing Alignment and Uniformity
Domain generalizable person re-identification (DG re-ID) aims to learn discriminative representations that are robust to distributional shifts. While data augmentation is a straightforward solution to improve generalizat…
Data AugmentationGeneralizable Person Re-identificationPerson Re-Identification