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Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US.

T. Gebru, J. Krause, Y. Wang, D. Chen, J. Deng, E. Lieberman, and L. Fei-Fei. CoRR, (2017)

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Jonathan Roth

Jonathan Cavanagh

Jonathan Vöglein

Jonathan Rother

Jonathan Burmeister

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The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition.J. Krause, B. Sapp, A. Howard, H. Zhou, A. Toshev, T. Duerig, J. Philbin, and L. Fei-Fei. ECCV (3), volume 9907 of Lecture Notes in Computer Science, page 301-320. Springer, (2016)Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US.T. Gebru, J. Krause, Y. Wang, D. Chen, J. Deng, E. Lieberman, and L. Fei-Fei. CoRR, (2017)Domain-specific optimization and diverse evaluation of self-supervised models for histopathology.J. Lai, F. Ahmed, S. Vijay, T. Jaroensri, J. Loo, S. Vyawahare, S. Agarwal, F. Jamil, Y. Matias, G. Corrado and 6 other author(s). CoRR, (2023)Fine-grained recognition without part annotations.J. Krause, H. Jin, J. Yang, and L. Fei-Fei. CVPR, page 5546-5555. IEEE Computer Society, (2015)ImageNet Large Scale Visual Recognition ChallengeO. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein and 2 other author(s). (2014)cite arxiv:1409.0575Comment: 43 pages, 16 figures. v3 includes additional comparisons with PASCAL VOC (per-category comparisons in Table 3, distribution of localization difficulty in Fig 16), a list of queries used for obtaining object detection images (Appendix C), and some additional references.Sapphire Rapids: The Next-Generation Intel Xeon Scalable Processor.N. Nassif, A. Munch, C. Molnar, G. Pasdast, S. Lyer, Z. Yang, O. Mendoza, M. Huddart, S. Venkataraman, S. Kandula and 10 other author(s). ISSCC, page 44-46. IEEE, (2022)ImageNet Large Scale Visual Recognition Challenge.O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein and 2 other author(s). Int. J. Comput. Vis., 115 (3): 211-252 (2015)Fine-Grained Car Detection for Visual Census Estimation.T. Gebru, J. Krause, Y. Wang, D. Chen, J. Deng, and L. Fei-Fei. AAAI, page 4502-4508. AAAI Press, (2017)Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition.J. Deng, J. Krause, A. Berg, and L. Fei-Fei. CVPR, page 3450-3457. IEEE Computer Society, (2012)Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.T. Gebru, J. Krause, Y. Wang, D. Chen, J. Deng, E. Aiden, and L. Fei-Fei. Proc. Natl. Acad. Sci. USA, 114 (50): 13108-13113 (2017)

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Disambiguation of "Krause, Jonathan"

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Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US.

Please choose a person to relate this publication to

Jonathan Roth

Jonathan Cavanagh

Jonathan Vöglein

Jonathan Rother

Jonathan Burmeister

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Krause, Jonathan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US.

Please choose a person to relate this publication to

Jonathan Roth

Jonathan Cavanagh

Jonathan Vöglein

Jonathan Rother

Jonathan Burmeister

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US.