Who Cited It

DeCAF: A Deep Convolutional Activation Feature for Generic Visual\n Recognition

2013 · arXiv (Cornell University) · 1,803 citations · 10 from inside this corpus

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

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.

DeCAF: A Deep Convolutional Activation Feature for Generic Visual\n Recognition (2013)DeCAF: A Deep Convolutional A…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Aggregated Residual Transformations for Deep Neural Networks (2017)Aggregated Residual Transform…Adversarial Discriminative Domain Adaptation (2017)Adversarial Discriminative Do…Learning without Forgetting (2017)Learning without ForgettingLearning 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…Deep visual domain adaptation: A survey (2018)Deep visual domain adaptation…Deep Hashing Network for Unsupervised Domain Adaptation (2017)Deep Hashing Network for Unsu…Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly (2018)Zero-Shot Learning—A Comprehe…Automated Machine Learning (2019)Automated Machine Learning
10 of 10 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.
this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
Aggregated Residual Transformations for Deep Neural Networks201712,015
Adversarial Discriminative Domain Adaptation20175,087
Learning without Forgetting20174,034
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…20143,197
Continual lifelong learning with neural networks: A review20193,145
Deep visual domain adaptation: A survey20182,232
Deep Hashing Network for Unsupervised Domain Adaptation20172,081
Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly20181,632
Automated Machine Learning20191,451

Links

Download BibTeX · Download RIS · DOI · Open access copy · 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?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports7 author record(s) attached.
  • weakensNo references are recorded despite 1,803 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…