Consistent-Aware Deep Learning for Person Re-identification in a Camera Network
Explore this paper's citation graph
- Type
- article
- Published
- 2017-07-21
- Cited by
- 126
- References
- 49
- OpenAlex
- https://openalex.org/W2747359207
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8578530
Keywords
Computer science, Artificial intelligence, Matching (statistics), Exploit, Identification (biology)
References
- Evaluating Appearance Models for Recognition, Reacquisition, and Tracking
- Learning Invariant Color Features for Person Reidentification
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- You Only Look Once: Unified, Real-Time Object Detection
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Person re-identification by Local Maximal Occurrence representation and metric learning
- Network Consistent Data Association
- Multi-manifold deep metric learning for image set classification
- An improved deep learning architecture for person re-identification
- Person re-identification by symmetry-driven accumulation of local features
- Re-identify people in wide area camera network
- DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
- Person re-identification by probabilistic relative distance comparison
- Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
- Unsupervised Salience Learning for Person Re-identification
- BiCov: a novel image representation for person re-identification and face verification
- Large scale metric learning from equivalence constraints
- FaceNet: A unified embedding for face recognition and clustering
- Going deeper with convolutions
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Cited by
- Deep Representation Learning With Part Loss for Person Re-Identification
- A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking
- Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach
- Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification
- Pose-Driven Deep Models for Person Re-Identification
- Adversarial Binary Coding for Efficient Person Re-Identification
- Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification
- Semi-supervised Region Metric Learning for Person Re-identification
- Person Re-identification with Cascaded Pairwise Convolutions
- Deep Group-Shuffling Random Walk for Person Re-identification
- Adversarially Occluded Samples for Person Re-identification
- Mask-Guided Contrastive Attention Model for Person Re-identification
- Resource Aware Person Re-identification Across Multiple Resolutions
- End-to-End Deep Kronecker-Product Matching for Person Re-identification
- Exploiting Transitivity for Learning Person Re-identification Models on a Budget
- Viewpoint-Aware Attentive Multi-view Inference for Vehicle Re-identification
- Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network
- SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification
- Survey on person re-identification based on deep learning
- Cross-View Discriminative Feature Learning for Person Re-Identification
Related papers
- AEMB: An Automated Exploit Mitigation Bypassing Solution
- AEG: Automatic Exploit Generation
- Automated Crash Analysis and Exploit Generation with Extendable Exploit Model
- Evaluation of Two Host-Based Intrusion Prevention Systems
- Exploit Kits: The production line of the Cybercrime economy?
- A Comparative Study on Deep Feature Extraction Approaches for Visual Tracking of Industrial Robots
- Feature extraction based on learning for feature list object matching
- 3DTNet: Learning Local Features Using 2D and 3D Cues