Joint dictionary and metric learning for person re-identification
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Summary
This paper proposes to formulate robust feature representation learning and discriminative metric learning into a unified framework for person re-identification, and to alleviate the issue of amount bias towards hard negative pairs in metric learning.
- Type
- article
- Published
- 2017-12-01
- Cited by
- 22
- References
- 40
- Access
- Open access
- OpenAlex
- https://openalex.org/W2726229433
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8341663
Keywords
Discriminative model, Artificial intelligence, Metric (unit), Computer science, Subspace topology
References
- Cross-View Projective Dictionary Learning for Person Re-Identification
- Person re-identification by Local Maximal Occurrence representation and metric learning
- Learning to rank in person re-identification with metric ensembles
- An improved deep learning architecture for person re-identification
- Deep feature learning with relative distance comparison for person re-identification
- Person re-identification by symmetry-driven accumulation of local features
- DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
- Person re-identification by probabilistic relative distance comparison
- Semi-supervised Coupled Dictionary Learning for Person Re-identification
- Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
- Person Re-identification Using Spatial Covariance Regions of Human Body Parts
- PCCA: A new approach for distance learning from sparse pairwise constraints
- Large scale metric learning from equivalence constraints
- Integrated imaging and vision techniques for industrial inspection: a special issue on machine vision and applications
- 3DPeS: 3D people dataset for surveillance and forensics
- Local Fisher Discriminant Analysis for Pedestrian Re-identification
- Custom Pictorial Structures for Re-identification
- Person Reidentification Using Spatiotemporal Appearance
- Pictorial structures revisited: People detection and articulated pose estimation
- Multiple-shot human re-identification by Mean Riemannian Covariance Grid
Cited by
- Multi-modal self-paced learning for image classification
- Low illumination person re-identification
- Asymmetric Projection and Dictionary Learning With Listwise and Identity Consistency Constraints for Person Re-Identification
- Attention Driven Person Re-identification
- Multi-view coupled dictionary learning for person re-identification
- Person Re-Identification Using Hybrid Representation Reinforced by Metric Learning
- High-Resolution and Low-Resolution Video Person Re-Identification: A Benchmark
- Top distance regularized projection and dictionary learning for person re-identification
- Self-paced learning with privileged information
- Top-Push Constrained Modality-Adaptive Dictionary Learning for Cross-Modality Person Re-Identification
- Person re-identification with dictionary learning regularized by stretching regularization and label consistency constraint
- Person re-identification with features-based clustering and deep features
- Target Field of View Prediction Using Artificial Pheromones for People Reidentification
- Tensor-based sparse canonical correlation analysis via low rank matrix approximation for RGB-D long-term person re-identification
- Joint graph regularized dictionary learning and sparse ranking for multi-modal multi-shot person re-identification
- Jointly Learning Commonality and Specificity Dictionaries for Person Re-Identification
- Multi-level cross-view consistent feature learning for person re-identification
- Person Re-Identification With Character-Illustration-Style Image and Normal Photo
- A Camera Identity-guided Distribution Consistency Method for Unsupervised Multi-target Domain Person Re-identification
- Sparse and Low-Rank Joint Dictionary Learning for Person Re-Identification
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