Who Cited It

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

2013 · arXiv (Cornell University) · 3,564 citations · 20 from inside this corpus

Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

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DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…Improving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …Multitask Learning (1997)Multitask LearningAdapting Visual Category Models to New Domains (2010)Adapting Visual Category Mode…Geodesic flow kernel for unsupervised domain adaptation (2012)Geodesic flow kernel for unsu…Frustratingly Easy Domain Adaptation (2009)Frustratingly Easy Domain Ada…A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data (2005)A Framework for Learning Pred…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Aggregated Residual Transformations for Deep Neural Networks (2017)Aggregated Residual Transform…Domain-Adversarial Training of Neural Networks (2017)Domain-Adversarial Training o…A Simple Framework for Contrastive Learning of Visual Representations (2020)A Simple Framework for Contra…Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (2017)Model-Agnostic Meta-Learning …Adversarial Discriminative Domain Adaptation (2017)Adversarial Discriminative Do…Learning without Forgetting (2017)Learning without ForgettingBootstrap your own latent: A new approach to self-supervised Learning (2020)Bootstrap your own latent: 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…Continual lifelong learning with neural networks: A review (2019)Continual lifelong learning w…Learning Transferable Features with Deep Adaptation Networks (2015)Unsupervised Domain Adaptation by Backpropagation (2014)Unsupervised Domain Adaptatio…Optimization as a Model for Few-Shot Learning (2017)Optimization as a Model for F…Deep Domain Confusion: Maximizing for Domain Invariance (2014)Deep Domain Confusion: Maximi…Deep visual domain adaptation: A survey (2018)Deep visual domain adaptation…Deep Hashing Network for Unsupervised Domain Adaptation (2017)Deep Hashing Network for Unsu…Return of Frustratingly Easy Domain Adaptation (2016)Return of Frustratingly Easy …SGDR: Stochastic Gradient Descent with Warm Restarts (2016)Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly (2018)Zero-Shot Learning—A Comprehe…
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Topics

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

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complete

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  • supports7 author record(s) attached.
  • supports46 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 2026-09-04T03:58:46+00:00.

sha256 bba2969b3567609a…