Deep Hashing Network for Unsupervised Domain Adaptation

Hemanth Venkateswara; José Eusébio; Shayok Chakraborty; Sethuraman Panchanathan

doi:https://doi.org/10.1109/cvpr.2017.572

Deep Hashing Network for Unsupervised Domain Adaptation

2017 · 2,081 citations · 1 from inside this corpus

Hemanth Venkateswara, José Eusébio, Shayok Chakraborty, Sethuraman Panchanathan

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

14 of 14 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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Citation edge evidence

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Moment Matching for Multi-Source Domain Adaptation→Deep Hashing Network for Unsupervised Domain AdaptationLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→A Survey on Transfer LearningLegacy 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→A theory of learning from different domainsLegacy 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 and Transferring Mid-level Image Representations Using Convolutional Neural Netw…Legacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy 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→Geodesic flow kernel for unsupervised domain adaptationLegacy 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→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→DeCAF: A Deep Convolutional Activation Feature for Generic Visual\n RecognitionLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
Domain-Adversarial Training of Neural Networks→Adapting Visual Category Models to New DomainsLegacy 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→A theory of learning from different domainsLegacy 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
Domain-Adversarial Training of Neural Networks→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy edge — source detail unavailable
Transfer Feature Learning with Joint Distribution Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Transfer Feature Learning with Joint Distribution Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
Transfer Feature Learning with Joint Distribution Adaptation→A Survey on Transfer LearningLegacy edge — source detail unavailable
Unsupervised Visual Domain Adaptation Using Subspace Alignment→Adapting Visual Category Models to New DomainsLegacy 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→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Geodesic flow kernel for unsupervised domain adaptation→A Survey on Transfer LearningLegacy 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
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→Adapting Visual Category Models to New DomainsLegacy 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→A theory of learning from different domainsLegacy 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 Transferable Features with Deep Adaptation Networks→A Survey on Transfer LearningLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy 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 and Transferring Mid-level Image Representations Using Convolutional Neural Netw…→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…→A Survey on Transfer LearningLegacy edge — source detail unavailable
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…→DeCAF: A Deep Convolutional Activation Feature for Generic Visual\n RecognitionLegacy edge — source detail unavailable
Return of Frustratingly Easy Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy 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→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
Moment Matching for Multi-Source Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→A theory of learning from different domainsLegacy 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→A Survey on Transfer LearningLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
A Survey on Transfer Learning	2009	23,670
Domain-Adversarial Training of Neural Networks	2017	7,702
A theory of learning from different domains	2009	3,607
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition	2013	3,564
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…	2014	3,197
Adapting Visual Category Models to New Domains	2010	2,873
Learning Transferable Features with Deep Adaptation Networks	2015	2,839
Geodesic flow kernel for unsupervised domain adaptation	2012	2,219
Transfer Feature Learning with Joint Distribution Adaptation	2013	2,033
Return of Frustratingly Easy Domain Adaptation	2016	1,910
DeCAF: A Deep Convolutional Activation Feature for Generic Visual\n Recognition	2013	1,803
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach	2011	1,562
Unsupervised Visual Domain Adaptation Using Subspace Alignment	2013	1,400

What cites it, inside the corpus

Paper	Year	Cited
Moment Matching for Multi-Source Domain Adaptation	2019	1,643

Links

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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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supports4 author record(s) attached.
supports73 reference(s) recorded.
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