Who Cited It

Adapting Visual Category Models to New Domains

2010 · Lecture notes in computer science · 2,873 citations · 18 from inside this corpus

Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell

No abstract in the source record.

Adapting Visual Category Models to New Domains (2010)Adapting Visual Category Mode…Information-theoretic metric learning (2007)Information-theoretic metric …Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi… (2007)Biographies, Bollywood, Boom-…Frustratingly Easy Domain Adaptation (2009)Frustratingly Easy Domain Ada…Domain-Adversarial Training of Neural Networks (2017)Domain-Adversarial Training o…A Comprehensive Survey on Transfer Learning (2020)A Comprehensive Survey on Tra…A survey of transfer learning (2016)A survey of transfer learningAdversarial Discriminative Domain Adaptation (2017)Adversarial Discriminative Do…DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…Deep CORAL: Correlation Alignment for Deep Domain Adaptation (2016)Deep CORAL: Correlation Align…Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw… (2014)Learning and Transferring Mid…Learning Transferable Features with Deep Adaptation Networks (2015)Learning Transferable Feature…Unsupervised Domain Adaptation by Backpropagation (2014)Unsupervised Domain Adaptatio…Deep Domain Confusion: Maximizing for Domain Invariance (2014)Deep Domain Confusion: Maximi…Deep visual domain adaptation: A survey (2018)Deep visual domain adaptation…Geodesic flow kernel for unsupervised domain adaptation (2012)Geodesic flow kernel for unsu…Deep Hashing Network for Unsupervised Domain Adaptation (2017)Deep Hashing Network for Unsu…Transfer Feature Learning with Joint Distribution Adaptation (2013)Transfer Feature Learning wit…Return of Frustratingly Easy Domain Adaptation (2016)Return of Frustratingly Easy …Moment Matching for Multi-Source Domain Adaptation (2019)Moment Matching for Multi-Sou…Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks (2017)Unsupervised Pixel-Level Doma…Unsupervised Visual Domain Adaptation Using Subspace Alignment (2013)Unsupervised Visual Domain Ad…
21 of 21 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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What this paper cites, inside the corpus

PaperYearCited
Information-theoretic metric learning20072,047
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi…20072,031
Frustratingly Easy Domain Adaptation20091,396

What cites it, inside the corpus

PaperYearCited
Domain-Adversarial Training of Neural Networks20177,702
A Comprehensive Survey on Transfer Learning20206,441
A survey of transfer learning20166,290
Adversarial Discriminative Domain Adaptation20175,087
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition20133,564
Deep CORAL: Correlation Alignment for Deep Domain Adaptation20163,286
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…20143,197
Learning Transferable Features with Deep Adaptation Networks20152,839
Unsupervised Domain Adaptation by Backpropagation20142,608
Deep Domain Confusion: Maximizing for Domain Invariance20142,354
Deep visual domain adaptation: A survey20182,232
Geodesic flow kernel for unsupervised domain adaptation20122,219
Deep Hashing Network for Unsupervised Domain Adaptation20172,081
Transfer Feature Learning with Joint Distribution Adaptation20132,033
Return of Frustratingly Easy Domain Adaptation20161,910
Moment Matching for Multi-Source Domain Adaptation20191,643
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks20171,634
Unsupervised Visual Domain Adaptation Using Subspace Alignment20131,400

Links

DOI · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Advanced Image and Video Retrieval TechniquesComputer Science
Multimodal Machine Learning ApplicationsComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports20 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:48+00:00.

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