Exploiting Transitivity for Learning Person Re-identification Models on a Budget
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- Type
- article
- Published
- 2018-06-01
- Cited by
- 22
- References
- 38
- OpenAlex
- https://openalex.org/W2799184354
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4025566
Keywords
Computer science, Time complexity, Maximization, Vertex (graph theory), Scalability
References
- Person re-identification by Local Maximal Occurrence representation and metric learning
- Network Consistent Data Association
- Handbook of Approximation: Algorithms and Metaheuristics
- Re-identify people in wide area camera network
- Camera Networks: The Acquisition and Analysis of Videos over Wide Areas
- Unsupervised Salience Learning for Person Re-identification
- PCCA: A new approach for distance learning from sparse pairwise constraints
- Edge-Deletion Problems
- Large scale metric learning from equivalence constraints
- Distance Metric Learning for Large Margin Nearest Neighbor Classification
- Local Fisher Discriminant Analysis for Pedestrian Re-identification
- A survey on visual surveillance of object motion and behaviors
- Far-sighted active learning on a budget for image and video recognition
- Custom Pictorial Structures for Re-identification
- A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance
- Cutting planes in integer and mixed integer programming
- Multiple-shot human re-identification by Mean Riemannian Covariance Grid
- The NP-Completeness Column: An Ongoing Guide
- Scalable Person Re-identification: A Benchmark
- Active image pair selection for continuous person re-identification
Cited by
- Deep Active Learning for Video-based Person Re-identification
- Person Re-identification in Videos by Analyzing Spatio-temporal Tubes
- Distilled Person Re-Identification: Towards a More Scalable System
- Unsupervised Person Re-Identification by Soft Multilabel Learning
- Consistent Cross-view Matching for Unsupervised Person Re-identification
- Deep Learning for Person Re-Identification: A Survey and Outlook
- A Comprehensive Overview of Person Re-Identification Approaches
- A New Strategy for One-Example Person re-ID: Exploit the Unlabeled Data Gradually Base on Style-Transferred Images
- Learning Person Re-Identification Models From Videos With Weak Supervision
- Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-Identification
- Person re-identification: A taxonomic survey and the path ahead
- Towards Fewer Labels: Support Pair Active Learning for Person Re-identification
- Highly Efficient Active Learning With Tracklet-Aware Co-Cooperative Annotators for Person Re-Identification
- Annotation Cost Efficient Active Learning for Content Based Image Retrieval
- Annotation Cost-Efficient Active Learning for Deep Metric Learning-Driven Remote Sensing Image Retrieval
- Balanced Active Sampling for Person Re-identification
- Context-Assisted Active Learning for Weakly Supervised Person Search
- Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling
- Unsupervised Clustering Active Learning for Person Re-identification
- PMOT2023: A Large-Scale Multi-Object Tracking (MOT) Dataset with Application to Phytoplankton Observation
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