Scalable Person Re-identification: A Benchmark
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- Type
- article
- Published
- 2015-12-07
- Cited by
- 4,600
- References
- 45
- OpenAlex
- https://openalex.org/W2204750386
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14991802
Keywords
Computer science, Artificial intelligence, Benchmark (surveying), Identification (biology), Scalability
References
- Evaluating Appearance Models for Recognition, Reacquisition, and Tracking
- Person Re-Identification with Correspondence Structure Learning
- Person re-identification by Local Maximal Occurrence representation and metric learning
- Open-set Person Re-identification
- Similarity learning on an explicit polynomial kernel feature map for person re-identification
- Query-adaptive late fusion for image search and person re-identification
- Person re-identification by symmetry-driven accumulation of local features
- Three things everyone should know to improve object retrieval
- DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
- Packing and Padding: Coupled Multi-index for Accurate Image Retrieval
- Unsupervised Salience Learning for Person Re-identification
- Locally Aligned Feature Transforms across Views
- Object retrieval and localization with spatially-constrained similarity measure and k-NN re-ranking
- Large scale metric learning from equivalence constraints
- Learning Mid-level Filters for Person Re-identification
- Person Re-Identification by Support Vector Ranking
- Distance Metric Learning for Large Margin Nearest Neighbor Classification
- Spatial coding for large scale partial-duplicate web image search
- Query-driven iterated neighborhood graph search for large scale indexing
- Lp-Norm IDF for Large Scale Image Search
Cited by
- Person Reidentification via Discrepancy Matrix and Matrix Metric
- Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature
- Unsupervised Person Re-Identification by Deep Asymmetric Metric Embedding
- Person Re-Identification with Correspondence Structure Learning
- Constrained Deep Metric Learning for Person Re-identification
- Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification
- Person Recognition in Personal Photo Collections
- Person Re-Identification by Discriminative Selection in Video Ranking
- PersonNet: Person Re-identification with Deep Convolutional Neural Networks
- Multi-Region bilinear convolutional neural networks for person re-identification
- Learning a Discriminative Null Space for Person Re-identification
- Sparse representation matching for person re-identification
- End-to-End Deep Learning for Person Search
- An enhanced deep feature representation for person re-identification
- Face database generation based on text-video correlation
- A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
- Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification
- Convolutional neural network-based representation for person re-identification
- End-to-End Comparative Attention Networks for Person Re-Identification
- DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification
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