A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios
Explore this paper's citation graph
- Type
- article
- Published
- 2019-04-01
- Cited by
- 200
- References
- 56
- OpenAlex
- https://openalex.org/W2898491875
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:53103798
Keywords
Computer science, Benchmark (surveying), Artificial intelligence, Pedestrian, Metric (unit)
References
- Evaluating Appearance Models for Recognition, Reacquisition, and Tracking
- Multi-label CNN based pedestrian attribute learning for soft biometrics
- Person re-identification by Local Maximal Occurrence representation and metric learning
- Deep Learning Face Attributes in the Wild
- Transferring a semantic representation for person re-identification and search
- DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- Pedestrian Attribute Classification in Surveillance: Database and Evaluation
- Unbiased look at dataset bias
- Locally Aligned Feature Transforms across Views
- Attribute-based People Search: Lessons Learnt from a Practical Surveillance System
- Large scale metric learning from equivalence constraints
- Image ranking and retrieval based on multi-attribute queries
- Person attribute search for large-area video surveillance
- Dropout: a simple way to prevent neural networks from overfitting
- Attribute-based people search in surveillance environments
- Pedestrian Attribute Recognition At Far Distance
- A Review on Multi-Label Learning Algorithms
- Describing people: A poselet-based approach to attribute classification
- Classification using intersection kernel support vector machines is efficient
Cited by
- Pedestrian Attribute Recognition: A Survey
- Large-Scale Pedestrian Retrieval Competition
- PARNet: A Joint Loss Function and Dynamic Weights Network for Pedestrian Semantic Attributes Recognition of Smart Surveillance Image
- ISEE: An Intelligent Scene Exploration and Evaluation Platform for Large-Scale Visual Surveillance
- Attention-Based Pedestrian Attribute Analysis
- Learning Bias-Free Representation for Large-Scale Person Re-Identification
- Multi-Branch Context-Aware Network for Person Re-Identification
- Unsupervised Cross-Domain Person Re-Identification: A New Framework
- CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts
- Visual Appearance Based Person Retrieval in Unconstrained Environment Videos
- Pose Switch-based Convolutional Neural Network for Clothing Analysis in Visual Surveillance Environment
- Pedestrian Attribute Recognition with Graph Convolutional Network in Surveillance Scenarios
- A Comprehensive Study on Large-Scale Person Retrieval in Real Surveillance Scenarios
- Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks
- Part-guided Network for Pedestrian Attribute Recognition
- An Implicit Attention Mechanism for Deep Learning Pedestrian Re-identification Frameworks
- A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-Output Classification Problems
- A Comprehensive Overview of Person Re-Identification Approaches
- An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition
- A heuristic SVM based pedestrian detection approach employing shape and texture descriptors
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