Deep Hashing Network for Unsupervised Domain Adaptation
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- Type
- article
- Published
- 2017-06-22
- Cited by
- 2,549
- References
- 51
- Access
- Open access
- OpenAlex
- https://openalex.org/W2627183927
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2928248
Keywords
Computer science, Exploit, Hash function, Artificial intelligence, Deep learning
References
- Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach
- Domain Adaptation via Transfer Component Analysis
- Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
- Efficient Learning of Domain-invariant Image Representations
- Hashing for Similarity Search: A Survey
- Hashing with binary autoencoders
- Deep hashing for compact binary codes learning
- MatConvNet: Convolutional Neural Networks for MATLAB
- Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval
- Visual Domain Adaptation: A survey of recent advances
- Generalized Domain-Adaptive Dictionaries
- Tabula rasa: Model transfer for object category detection
- Return of the Devil in the Details: Delving Deep into Convolutional Nets
- Selective Transfer Machine for Personalized Facial Action Unit Detection
- K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes
- Unbiased look at dataset bias
- Transfer Joint Matching for Unsupervised Domain Adaptation
- Iterative quantization: A procrustean approach to learning binary codes
- Transfer Feature Learning with Joint Distribution Adaptation
- The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression
Cited by
- Learning Multiple Tasks with Multilinear Relationship Networks
- Conditional Adversarial Domain Adaptation
- Transfer Learning for Cross-Dataset Recognition: A Survey
- Transductive Zero-Shot Hashing via Coarse-to-Fine Similarity Mining
- Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations
- Discrepancy-Based Networks for Unsupervised Domain Adaptation: A Comparative Study
- Unsupervised Domain Adaptation with Similarity Learning
- Deep Hashing with Category Mask for Fast Video Retrieval
- Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization
- Museum Exhibit Identification Challenge for Domain Adaptation and Beyond
- Hashing with Mutual Information
- Semantic invariant cross-domain image generation with generative adversarial networks
- DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation
- Conditional variance penalties and domain shift robustness
- IterGANs: Iterative GANs to Learn and Control 3D Object Transformation
- Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
- Deep Domain Adaptation Hashing with Adversarial Learning
- Deep Hashing via Discrepancy Minimization
- Transfer Hashing: From Shallow to Deep
- Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation
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