DOI: 10.1145/2647868.2654889. Caffe

Caffe

10.1145/2647868.2654889

Crossref proceedings-article

ACM

Proceedings of the 22nd ACM international conference on Multimedia (320)

Bibliography

Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., & Darrell, T. (2014). Caffe. Proceedings of the 22nd ACM International Conference on Multimedia, 675â678.

Authors 8

Yangqing Jia (first)
Evan Shelhamer (additional)
Jeff Donahue (additional)
Sergey Karayev (additional)
Jonathan Long (additional)
Ross Girshick (additional)
Sergio Guadarrama (additional)
Trevor Darrell (additional)

References 11 Referenced 8,332

R. Collobert , K. Kavukcuoglu , and C. Farabet . Torch7: A MATLAB-like environment for machine learning. In BigLearn , NIPS Workshop , 2011 . R. Collobert, K. Kavukcuoglu, and C. Farabet. Torch7: A MATLAB-like environment for machine learning. In BigLearn, NIPS Workshop, 2011. / NIPS Workshop by Collobert R. (2011)
J. Donahue , Y. Jia , O. Vinyals , J. Hoffman , N. Zhang , E. Tzeng , and T. Darrell . Decaf: A deep convolutional activation feature for generic visual recognition . In ICML , 2014 . J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell. Decaf: A deep convolutional activation feature for generic visual recognition. In ICML, 2014. / ICML by Donahue J. (2014)
10.1109/CVPR.2014.81
I. Goodfellow , D. Warde-Farley , P. Lamblin , V. Dumoulin , M. Mirza , R. Pascanu , J. Bergstra , F. Bastien , and Y. Bengio . Pylearn2: a machine learning research library. arXiv preprint 1308.4214 , 2013 . I. Goodfellow, D. Warde-Farley, P. Lamblin, V. Dumoulin, M. Mirza, R. Pascanu, J. Bergstra, F. Bastien, and Y. Bengio. Pylearn2: a machine learning research library. arXiv preprint 1308.4214, 2013. / Pylearn2: a machine learning research library. arXiv preprint 1308.4214 by Goodfellow I. (2013)
10.15607/RSS.2014.X.041
S. Karayev , M. Trentacoste , H. Han , A. Agarwala , T. Darrell , A. Hertzmann , and H. Winnemoeller . Recognizing image style. arXiv preprint 1311.3715 , 2013 . S. Karayev, M. Trentacoste, H. Han, A. Agarwala, T. Darrell, A. Hertzmann, and H. Winnemoeller. Recognizing image style. arXiv preprint 1311.3715, 2013. / Recognizing image style. arXiv preprint 1311.3715 by Karayev S. (2013)
A. Krizhevsky . cuda-convnet. https://code.google.com/p/cuda-convnet/ , 2012 . A. Krizhevsky. cuda-convnet. https://code.google.com/p/cuda-convnet/, 2012. / https://code.google.com/p/cuda-convnet/ by Krizhevsky A. (2012)
A. Krizhevsky , I. Sutskever , and G. Hinton . ImageNet classification with deep convolutional neural networks . In NIPS , 2012 . A. Krizhevsky, I. Sutskever, and G. Hinton. ImageNet classification with deep convolutional neural networks. In NIPS, 2012. / NIPS by Krizhevsky A. (2012)
P. Sermanet , D. Eigen , X. Zhang , M. Mathieu , R. Fergus , and Y. LeCun . Overfeat: Integrated recognition, localization and detection using convolutional networks . In ICLR , 2014 . P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. In ICLR, 2014. / ICLR by Sermanet P. (2014)
10.1007/s11263-013-0620-5
10.1109/CVPR.2014.212

Dates

Type	When
Created	10 years, 9 months ago (Nov. 3, 2014, 9:41 a.m.)
Deposited	2 months, 1 week ago (June 18, 2025, 2:56 a.m.)
Indexed	40 minutes ago (Aug. 27, 2025, 9:55 p.m.)
Issued	10 years, 9 months ago (Nov. 3, 2014)
Published	10 years, 9 months ago (Nov. 3, 2014)
Published Online	10 years, 9 months ago (Nov. 3, 2014)
Published Print	10 years, 9 months ago (Nov. 3, 2014)

Funders 0

None

BibTeX

@inproceedings{Jia_2014, series={MM ’14}, title={Caffe: Convolutional Architecture for Fast Feature Embedding}, url={http://dx.doi.org/10.1145/2647868.2654889}, DOI={10.1145/2647868.2654889}, booktitle={Proceedings of the 22nd ACM international conference on Multimedia}, publisher={ACM}, author={Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor}, year={2014}, month=nov, pages={675–678}, collection={MM ’14} }

JSON

{
  "indexed": {
    "date-parts": [
      [
        2025,
        8,
        28
      ]
    ],
    "date-time": "2025-08-28T01:55:42Z",
    "timestamp": 1756346142248,
    "version": "3.41.0"
  },
  "publisher-location": "New York, NY, USA",
  "reference-count": 11,
  "publisher": "ACM",
  "license": [
    {
      "start": {
        "date-parts": [
          [
            2014,
            11,
            3
          ]
        ],
        "date-time": "2014-11-03T00:00:00Z",
        "timestamp": 1414972800000
      },
      "content-version": "vor",
      "delay-in-days": 0,
      "URL": "https://www.acm.org/publications/policies/copyright_policy#Background"
    }
  ],
  "content-domain": {
    "domain": [
      "dl.acm.org"
    ],
    "crossmark-restriction": true
  },
  "published-print": {
    "date-parts": [
      [
        2014,
        11,
        3
      ]
    ]
  },
  "DOI": "10.1145/2647868.2654889",
  "type": "proceedings-article",
  "created": {
    "date-parts": [
      [
        2014,
        11,
        3
      ]
    ],
    "date-time": "2014-11-03T14:41:51Z",
    "timestamp": 1415025711000
  },
  "page": "675-678",
  "update-policy": "https://doi.org/10.1145/crossmark-policy",
  "source": "Crossref",
  "is-referenced-by-count": 8332,
  "title": "Caffe",
  "prefix": "10.1145",
  "author": [
    {
      "given": "Yangqing",
      "family": "Jia",
      "sequence": "first",
      "affiliation": [
        {
          "name": "Google Research, Mountain View, CA, USA"
        }
      ]
    },
    {
      "given": "Evan",
      "family": "Shelhamer",
      "sequence": "additional",
      "affiliation": [
        {
          "name": "UC Berkeley, Berkeley, CA, USA"
        }
      ]
    },
    {
      "given": "Jeff",
      "family": "Donahue",
      "sequence": "additional",
      "affiliation": [
        {
          "name": "UC Berkeley, Berkeley, CA, USA"
        }
      ]
    },
    {
      "given": "Sergey",
      "family": "Karayev",
      "sequence": "additional",
      "affiliation": [
        {
          "name": "UC Berkeley, Berkeley, CA, USA"
        }
      ]
    },
    {
      "given": "Jonathan",
      "family": "Long",
      "sequence": "additional",
      "affiliation": [
        {
          "name": "UC Berkeley, Berkeley, CA, USA"
        }
      ]
    },
    {
      "given": "Ross",
      "family": "Girshick",
      "sequence": "additional",
      "affiliation": [
        {
          "name": "UC Berkeley, Berkeley, CA, USA"
        }
      ]
    },
    {
      "given": "Sergio",
      "family": "Guadarrama",
      "sequence": "additional",
      "affiliation": [
        {
          "name": "UC Berkeley, Berkeley, CA, USA"
        }
      ]
    },
    {
      "given": "Trevor",
      "family": "Darrell",
      "sequence": "additional",
      "affiliation": [
        {
          "name": "UC Berkeley, Berkeley, CA, USA"
        }
      ]
    }
  ],
  "member": "320",
  "published-online": {
    "date-parts": [
      [
        2014,
        11,
        3
      ]
    ]
  },
  "reference": [
    {
      "key": "e_1_3_2_1_1_1",
      "volume-title": "NIPS Workshop",
      "author": "Collobert R.",
      "year": "2011",
      "unstructured": "R. Collobert , K. Kavukcuoglu , and C. Farabet . Torch7: A MATLAB-like environment for machine learning. In BigLearn , NIPS Workshop , 2011 . R. Collobert, K. Kavukcuoglu, and C. Farabet. Torch7: A MATLAB-like environment for machine learning. In BigLearn, NIPS Workshop, 2011."
    },
    {
      "key": "e_1_3_2_1_2_1",
      "volume-title": "ICML",
      "author": "Donahue J.",
      "year": "2014",
      "unstructured": "J. Donahue , Y. Jia , O. Vinyals , J. Hoffman , N. Zhang , E. Tzeng , and T. Darrell . Decaf: A deep convolutional activation feature for generic visual recognition . In ICML , 2014 . J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell. Decaf: A deep convolutional activation feature for generic visual recognition. In ICML, 2014."
    },
    {
      "key": "e_1_3_2_1_3_1",
      "doi-asserted-by": "publisher",
      "DOI": "10.1109/CVPR.2014.81"
    },
    {
      "key": "e_1_3_2_1_4_1",
      "volume-title": "Pylearn2: a machine learning research library. arXiv preprint 1308.4214",
      "author": "Goodfellow I.",
      "year": "2013",
      "unstructured": "I. Goodfellow , D. Warde-Farley , P. Lamblin , V. Dumoulin , M. Mirza , R. Pascanu , J. Bergstra , F. Bastien , and Y. Bengio . Pylearn2: a machine learning research library. arXiv preprint 1308.4214 , 2013 . I. Goodfellow, D. Warde-Farley, P. Lamblin, V. Dumoulin, M. Mirza, R. Pascanu, J. Bergstra, F. Bastien, and Y. Bengio. Pylearn2: a machine learning research library. arXiv preprint 1308.4214, 2013."
    },
    {
      "key": "e_1_3_2_1_5_1",
      "doi-asserted-by": "publisher",
      "DOI": "10.15607/RSS.2014.X.041"
    },
    {
      "key": "e_1_3_2_1_6_1",
      "volume-title": "Recognizing image style. arXiv preprint 1311.3715",
      "author": "Karayev S.",
      "year": "2013",
      "unstructured": "S. Karayev , M. Trentacoste , H. Han , A. Agarwala , T. Darrell , A. Hertzmann , and H. Winnemoeller . Recognizing image style. arXiv preprint 1311.3715 , 2013 . S. Karayev, M. Trentacoste, H. Han, A. Agarwala, T. Darrell, A. Hertzmann, and H. Winnemoeller. Recognizing image style. arXiv preprint 1311.3715, 2013."
    },
    {
      "key": "e_1_3_2_1_7_1",
      "volume-title": "https://code.google.com/p/cuda-convnet/",
      "author": "Krizhevsky A.",
      "year": "2012",
      "unstructured": "A. Krizhevsky . cuda-convnet. https://code.google.com/p/cuda-convnet/ , 2012 . A. Krizhevsky. cuda-convnet. https://code.google.com/p/cuda-convnet/, 2012."
    },
    {
      "key": "e_1_3_2_1_8_1",
      "volume-title": "NIPS",
      "author": "Krizhevsky A.",
      "year": "2012",
      "unstructured": "A. Krizhevsky , I. Sutskever , and G. Hinton . ImageNet classification with deep convolutional neural networks . In NIPS , 2012 . A. Krizhevsky, I. Sutskever, and G. Hinton. ImageNet classification with deep convolutional neural networks. In NIPS, 2012."
    },
    {
      "key": "e_1_3_2_1_9_1",
      "volume-title": "ICLR",
      "author": "Sermanet P.",
      "year": "2014",
      "unstructured": "P. Sermanet , D. Eigen , X. Zhang , M. Mathieu , R. Fergus , and Y. LeCun . Overfeat: Integrated recognition, localization and detection using convolutional networks . In ICLR , 2014 . P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. In ICLR, 2014."
    },
    {
      "key": "e_1_3_2_1_10_1",
      "doi-asserted-by": "publisher",
      "DOI": "10.1007/s11263-013-0620-5"
    },
    {
      "key": "e_1_3_2_1_11_1",
      "doi-asserted-by": "publisher",
      "DOI": "10.1109/CVPR.2014.212"
    }
  ],
  "event": "MM '14: 2014 ACM Multimedia Conference",
  "container-title": "Proceedings of the 22nd ACM international conference on Multimedia",
  "original-title": [],
  "link": [
    {
      "URL": "https://dl.acm.org/doi/10.1145/2647868.2654889",
      "content-type": "unspecified",
      "content-version": "vor",
      "intended-application": "text-mining"
    },
    {
      "URL": "https://dl.acm.org/doi/pdf/10.1145/2647868.2654889",
      "content-type": "unspecified",
      "content-version": "vor",
      "intended-application": "similarity-checking"
    }
  ],
  "deposited": {
    "date-parts": [
      [
        2025,
        6,
        18
      ]
    ],
    "date-time": "2025-06-18T06:56:08Z",
    "timestamp": 1750229768000
  },
  "score": 1,
  "resource": {
    "primary": {
      "URL": "https://dl.acm.org/doi/10.1145/2647868.2654889"
    }
  },
  "subtitle": [
    "Convolutional Architecture for Fast Feature Embedding"
  ],
  "short-title": [],
  "issued": {
    "date-parts": [
      [
        2014,
        11,
        3
      ]
    ]
  },
  "references-count": 11,
  "alternative-id": [
    "10.1145/2647868.2654889",
    "10.1145/2647868"
  ],
  "URL": "http://dx.doi.org/10.1145/2647868.2654889",
  "relation": {},
  "subject": [],
  "published": {
    "date-parts": [
      [
        2014,
        11,
        3
      ]
    ]
  },
  "assertion": [
    {
      "value": "2014-11-03",
      "order": 2,
      "name": "published",
      "label": "Published",
      "group": {
        "name": "publication_history",
        "label": "Publication History"
      }
    }
  ]
}