Multi-Region bilinear convolutional neural networks for person re-identification
Explore this paper's citation graph
- Type
- preprint
- Published
- 2015-12-16
- Cited by
- 174
- References
- 43
- Access
- Open access
- OpenAlex
- https://openalex.org/W2268723579
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3410808
Keywords
Pooling, Bilinear interpolation, Convolutional neural network, Computer science, Benchmark (surveying)
References
- Evaluating Appearance Models for Recognition, Reacquisition, and Tracking
- Cross-View Projective Dictionary Learning for Person Re-Identification
- Face Identification with Bilinear CNNs
- Person re-identification by Local Maximal Occurrence representation and metric learning
- The Caltech-UCSD Birds-200-2011 Dataset
- Learning to rank in person re-identification with metric ensembles
- An improved deep learning architecture for person re-identification
- Person Re-Identification by Saliency Learning
- Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A
- DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
- Symmetry-driven accumulation of local features for human characterization and re-identification
- Person Re-identification by Efficient Impostor-Based Metric Learning
- PCCA: A new approach for distance learning from sparse pairwise constraints
- BiCov: a novel image representation for person re-identification and face verification
- Large scale metric learning from equivalence constraints
- Person re-identification using semantic color names and RankBoost
- Person Re-Identification by Support Vector Ranking
- Bilinear CNN Models for Fine-Grained Visual Recognition
- Deep Metric Learning for Practical Person Re-Identification
- A new pedestrian dataset for supervised learning
Cited by
- Continuous adaptation of multi-camera person identification models through sparse non-redundant representative selection
- Extensive Comparison of Visual Features for Person Re-identification
- Late Fusion in Part-based Person Re-identification
- Constraint patch matching for faster person re-identification
- Looking beyond appearances: Synthetic training data for deep CNNs in re-identification
- Re-ranking Person Re-identification with k-Reciprocal Encoding
- Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro
- Improving Person Re-identification by Attribute and Identity Learning
- Part-Based Deep Hashing for Large-Scale Person Re-Identification
- Feedback mechanism based iterative metric learning for person re-identification
- Learning deep discriminative features based on cosine loss function
- Pose-Aware Person Recognition
- Deep adaptive feature embedding with local sample distributions for person re-identification
- Deep Representation Learning With Part Loss for Person Re-Identification
- Joint dictionary and metric learning for person re-identification
- Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion
- Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification
- Multi-part compact bilinear CNN for person re-identification
- Histopathological image classification with bilinear convolutional neural networks
- Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition
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- Scalable Person Re-identification: A Benchmark
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