Person Transfer GAN to Bridge Domain Gap for Person Re-identification
Explore this paper's citation graph
- Type
- preprint
- Published
- 2017-11-23
- Cited by
- 1,999
- References
- 45
- Access
- Open access
- OpenAlex
- https://openalex.org/W2769994766
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6258614
Keywords
Computer science, Identification (biology), Bounding overwatch, Domain (mathematical analysis), Bridge (graph theory)
References
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Person re-identification by Local Maximal Occurrence representation and metric learning
- DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
- Going deeper with convolutions
- Conditional Generative Adversarial Nets
- Custom Pictorial Structures for Re-identification
- Object Detection with Discriminatively Trained Part Based Models
- Attribute2Image: Conditional Image Generation from Visual Attributes
- Scalable Person Re-identification: A Benchmark
- Pixel-Level Domain Transfer
- Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
- An enhanced deep feature representation for person re-identification
- Generative Adversarial Text to Image Synthesis
- Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function
- Coupled Generative Adversarial Networks
- Image Style Transfer Using Convolutional Neural Networks
- Deep Transfer Learning for Person Re-Identification
- Image-to-Image Translation with Conditional Adversarial Networks
- Pyramid Scene Parsing Network
- Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro
Cited by
- Unsupervised Person Re-Identification by Deep Asymmetric Metric Embedding
- Improving Person Re-identification by Attribute and Identity Learning
- VP-ReID: Vehicle and Person Re-Identification System
- SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
- Partial Person Re-identification with Alignment and Hallucination
- RAM: A Region-Aware Deep Model for Vehicle Re-Identification
- Generation of Artificial Training Data for Deep Learning
- Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification
- CamStyle: A Novel Data Augmentation Method for Person Re-Identification
- A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios
- ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale
- GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification
- Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification
- M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification
- Leveraging Virtual and Real Person for Unsupervised Person Re-Identification
- One Shot Domain Adaptation for Person Re-Identification
- Similarity-preserving Image-image Domain Adaptation for Person Re-identification
- Pedestrian Retrieval Using Generated Samples and Multistream Layer in Sensor Networks
- Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-Identification
- Learning Resolution-Invariant Deep Representations for Person Re-Identification
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