Adapting Visual Category Models to New Domains
Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell
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Citation edge evidence
- Domain-Adversarial Training of Neural Networks→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- A survey of transfer learning→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Adversarial Discriminative Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Deep CORAL: Correlation Alignment for Deep Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Learning Transferable Features with Deep Adaptation Networks→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Unsupervised Domain Adaptation by Backpropagation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Deep Domain Confusion: Maximizing for Domain Invariance→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Geodesic flow kernel for unsupervised domain adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Deep Hashing Network for Unsupervised Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Transfer Feature Learning with Joint Distribution Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Return of Frustratingly Easy Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Moment Matching for Multi-Source Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Unsupervised Visual Domain Adaptation Using Subspace Alignment→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
- Adapting Visual Category Models to New Domains→Information-theoretic metric learningLegacy edge — source detail unavailable
- Adapting Visual Category Models to New Domains→Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi…Legacy edge — source detail unavailable
- Adapting Visual Category Models to New Domains→Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- Deep Domain Confusion: Maximizing for Domain Invariance→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
- Deep Domain Confusion: Maximizing for Domain Invariance→Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- Deep Domain Confusion: Maximizing for Domain Invariance→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- Domain-Adversarial Training of Neural Networks→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
- Domain-Adversarial Training of Neural Networks→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
- Domain-Adversarial Training of Neural Networks→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Domain-Adversarial Training of Neural Networks→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- Domain-Adversarial Training of Neural Networks→Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…Legacy edge — source detail unavailable
- Unsupervised Domain Adaptation by Backpropagation→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
- Unsupervised Domain Adaptation by Backpropagation→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
- Unsupervised Domain Adaptation by Backpropagation→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- Unsupervised Domain Adaptation by Backpropagation→Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…Legacy edge — source detail unavailable
- Transfer Feature Learning with Joint Distribution Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Unsupervised Visual Domain Adaptation Using Subspace Alignment→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Geodesic flow kernel for unsupervised domain adaptation→Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- Geodesic flow kernel for unsupervised domain adaptation→Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi…Legacy edge — source detail unavailable
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition→Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Learning Transferable Features with Deep Adaptation Networks→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
- Learning Transferable Features with Deep Adaptation Networks→Transfer Feature Learning with Joint Distribution AdaptationLegacy edge — source detail unavailable
- Learning Transferable Features with Deep Adaptation Networks→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Learning Transferable Features with Deep Adaptation Networks→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- A survey of transfer learning→Transfer Feature Learning with Joint Distribution AdaptationLegacy edge — source detail unavailable
- A survey of transfer learning→Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- A survey of transfer learning→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- A survey of transfer learning→Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…Legacy edge — source detail unavailable
- A survey of transfer learning→Information-theoretic metric learningLegacy edge — source detail unavailable
- Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
- Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Domain-Adversarial Training of Neural NetworksLegacy edge — source detail unavailable
- Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
- Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
- Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- Adversarial Discriminative Domain Adaptation→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
- Adversarial Discriminative Domain Adaptation→Domain-Adversarial Training of Neural NetworksLegacy edge — source detail unavailable
- Adversarial Discriminative Domain Adaptation→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
- Adversarial Discriminative Domain Adaptation→Transfer Feature Learning with Joint Distribution AdaptationLegacy edge — source detail unavailable
- Adversarial Discriminative Domain Adaptation→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- Adversarial Discriminative Domain Adaptation→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
- Adversarial Discriminative Domain Adaptation→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- Adversarial Discriminative Domain Adaptation→Deep CORAL: Correlation Alignment for Deep Domain AdaptationLegacy edge — source detail unavailable
- Deep Hashing Network for Unsupervised Domain Adaptation→Domain-Adversarial Training of Neural NetworksLegacy edge — source detail unavailable
- Deep Hashing Network for Unsupervised Domain Adaptation→Transfer Feature Learning with Joint Distribution AdaptationLegacy edge — source detail unavailable
- Deep Hashing Network for Unsupervised Domain Adaptation→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
- Deep Hashing Network for Unsupervised Domain Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Deep Hashing Network for Unsupervised Domain Adaptation→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- Deep Hashing Network for Unsupervised Domain Adaptation→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
- Deep Hashing Network for Unsupervised Domain Adaptation→Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…Legacy edge — source detail unavailable
- Deep Hashing Network for Unsupervised Domain Adaptation→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Domain-Adversarial Training of Neural NetworksLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial NetworksLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Adversarial Discriminative Domain AdaptationLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Deep CORAL: Correlation Alignment for Deep Domain AdaptationLegacy edge — source detail unavailable
- Return of Frustratingly Easy Domain Adaptation→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
- Return of Frustratingly Easy Domain Adaptation→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
- Return of Frustratingly Easy Domain Adaptation→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
- Return of Frustratingly Easy Domain Adaptation→Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- Return of Frustratingly Easy Domain Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Return of Frustratingly Easy Domain Adaptation→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- Return of Frustratingly Easy Domain Adaptation→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
- Return of Frustratingly Easy Domain Adaptation→Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi…Legacy edge — source detail unavailable
- Deep CORAL: Correlation Alignment for Deep Domain Adaptation→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
- Deep CORAL: Correlation Alignment for Deep Domain Adaptation→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
- Deep CORAL: Correlation Alignment for Deep Domain Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Deep CORAL: Correlation Alignment for Deep Domain Adaptation→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- Deep CORAL: Correlation Alignment for Deep Domain Adaptation→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- Moment Matching for Multi-Source Domain Adaptation→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
- Moment Matching for Multi-Source Domain Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Moment Matching for Multi-Source Domain Adaptation→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
- Moment Matching for Multi-Source Domain Adaptation→Adversarial Discriminative Domain AdaptationLegacy edge — source detail unavailable
- Moment Matching for Multi-Source Domain Adaptation→Deep Hashing Network for Unsupervised Domain AdaptationLegacy edge — source detail unavailable
- Moment Matching for Multi-Source Domain Adaptation→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Domain-Adversarial Training of Neural NetworksLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Transfer Feature Learning with Joint Distribution AdaptationLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi…Legacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→A survey of transfer learningLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Adversarial Discriminative Domain AdaptationLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Deep visual domain adaptation: A surveyLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Deep CORAL: Correlation Alignment for Deep Domain AdaptationLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Information-theoretic metric learning | 2007 | 2,047 |
| Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi… | 2007 | 2,031 |
| Frustratingly Easy Domain Adaptation | 2009 | 1,396 |
What cites it, inside the corpus
Links
Topics
| Domain Adaptation and Few-Shot Learning | Computer Science |
| Advanced Image and Video Retrieval Techniques | Computer Science |
| Multimodal Machine Learning Applications | Computer Science |
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