ImageNet (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "ImageNet" in English language version.

refsWebsite

Global rank English rank

17image-net.org

low place

15doi.org

2^nd place

12web.archive.org

1^st place

11arxiv.org

69^th place

59^th place

5worldcat.org

5^th place

3qz.com

1,110^th place

695^th place

2newscientist.com

774^th place

716^th place

2nytimes.com

7^th place

2wired.com

193^rd place

152^nd place

2semanticscholar.org

11^th place

8^th place

2mlr.press

low place

2thecvf.com

low place

1economist.com

254^th place

236^th place

1nih.gov

4^th place

1arstechnica.com

388^th place

265^th place

1computer.org

5,196^th place

3,635^th place

1ted.com

2,327^th place

1,627^th place

1nips.cc

low place

7,050^th place

1ft.com

210^th place

157^th place

1plus.google.com

3,615^th place

6,420^th place

1karpathy.github.io

low place

1github.com

383^rd place

320^th place

1springer.com

274^th place

309^th place

1acm.org

1,185^th place

840^th place

1nsf.gov

3,828^th place

2,823^rd place

1hal.science

low place

1theguardian.com

12^th place

11^th place

1excavating.ai

low place

acm.org (Global: 1,185^th place; English: 840^th place)

dl.acm.org

Yang, Kaiyu; Qinami, Klint; Fei-Fei, Li; Deng, Jia; Russakovsky, Olga (27 January 2020). "Towards fairer datasets: Filtering and balancing the distribution of the people subtree in the ImageNet hierarchy". Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. ACM. pp. 547–558. doi:10.1145/3351095.3375709. ISBN 978-1-4503-6936-7.

arstechnica.com (Global: 388^th place; English: 265^th place)

Lee, Timothy B. (11 November 2024). "How a stubborn computer scientist accidentally launched the deep learning boom". Ars Technica. Retrieved 12 November 2024.

arxiv.org (Global: 69^th place; English: 59^th place)

Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C.; Fei-Fei, Li (1 December 2015). "ImageNet Large Scale Visual Recognition Challenge". International Journal of Computer Vision. 115 (3): 211–252. arXiv:1409.0575. doi:10.1007/s11263-015-0816-y. ISSN 1573-1405.
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). "Deep Residual Learning for Image Recognition". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 770–778. arXiv:1512.03385. doi:10.1109/CVPR.2016.90. ISBN 978-1-4673-8851-1. S2CID 206594692.
Ridnik, Tal; Ben-Baruch, Emanuel; Noy, Asaf; Zelnik-Manor, Lihi (5 August 2021). "ImageNet-21K Pretraining for the Masses". arXiv:2104.10972 [cs.CV].
Hendrycks, Dan; Dietterich, Thomas (2019). "Benchmarking Neural Network Robustness to Common Corruptions and Perturbations". arXiv:1903.12261 [cs.LG].
Sermanet, Pierre; Eigen, David; Zhang, Xiang; Mathieu, Michael; Fergus, Rob; LeCun, Yann (2013). "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks". arXiv:1312.6229 [cs.CV].
Szegedy, Christian; Wei Liu; Yangqing Jia; Sermanet, Pierre; Reed, Scott; Anguelov, Dragomir; Erhan, Dumitru; Vanhoucke, Vincent; Rabinovich, Andrew (June 2015). "Going deeper with convolutions". 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 1–9. arXiv:1409.4842. doi:10.1109/CVPR.2015.7298594. ISBN 978-1-4673-6964-0.
Xie, Saining; Girshick, Ross; Dollar, Piotr; Tu, Zhuowen; He, Kaiming (2017). Aggregated Residual Transformations for Deep Neural Networks (PDF). Conference on Computer Vision and Pattern Recognition. pp. 1492–1500. arXiv:1611.05431. doi:10.1109/CVPR.2017.634.
Hu, Jie; Shen, Li; Albanie, Samuel; Sun, Gang; Wu, Enhua (2017). "Squeeze-and-Excitation Networks". arXiv:1709.01507 [cs.CV].
Northcutt, Curtis G.; Athalye, Anish; Mueller, Jonas (7 November 2021), Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks, arXiv:2103.14749
Beyer, Lucas; Hénaff, Olivier J.; Kolesnikov, Alexander; Zhai, Xiaohua; Oord, Aäron van den (12 June 2020), Are we done with ImageNet?, arXiv:2006.07159
Lyons, Michael (24 December 2020). "Excavating "Excavating AI": The Elephant in the Gallery". arXiv:2009.01215. doi:10.5281/zenodo.4037538. {{cite journal}}: Cite journal requires |journal= (help)

computer.org (Global: 5,196^th place; English: 3,635^th place)

tab.computer.org

"CVPR 2009: IEEE Computer Society Conference on Computer Vision and Pattern Recognition". tab.computer.org. Retrieved 13 November 2024.

doi.org (Global: 2^nd place; English: 2^nd place)

doi.org

Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C.; Fei-Fei, Li (1 December 2015). "ImageNet Large Scale Visual Recognition Challenge". International Journal of Computer Vision. 115 (3): 211–252. arXiv:1409.0575. doi:10.1007/s11263-015-0816-y. ISSN 1573-1405.
Biederman, Irving (1987). "Recognition-by-components: A theory of human image understanding". Psychological Review. 94 (2): 115–117. doi:10.1037/0033-295x.94.2.115. ISSN 0033-295X. PMID 3575582.
Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (June 2017). "ImageNet classification with deep convolutional neural networks" (PDF). Communications of the ACM. 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782. S2CID 195908774. Retrieved 24 May 2017.
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). "Deep Residual Learning for Image Recognition". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 770–778. arXiv:1512.03385. doi:10.1109/CVPR.2016.90. ISBN 978-1-4673-8851-1. S2CID 206594692.
Russakovsky, Olga; Fei-Fei, Li (2012). "Attribute Learning in Large-Scale Datasets". In Kutulakos, Kiriakos N. (ed.). Trends and Topics in Computer Vision. Lecture Notes in Computer Science. Vol. 6553. Berlin, Heidelberg: Springer. pp. 1–14. doi:10.1007/978-3-642-35749-7_1. ISBN 978-3-642-35749-7.
Yang, Kaiyu; Qinami, Klint; Fei-Fei, Li; Deng, Jia; Russakovsky, Olga (27 January 2020). "Towards fairer datasets: Filtering and balancing the distribution of the people subtree in the ImageNet hierarchy". Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. ACM. pp. 547–558. doi:10.1145/3351095.3375709. ISBN 978-1-4503-6936-7.
Lin, Yuanqing; Lv, Fengjun; Zhu, Shenghuo; Yang, Ming; Cour, Timothee; Yu, Kai; Cao, Liangliang; Huang, Thomas (June 2011). "Large-scale image classification: Fast feature extraction and SVM training". CVPR 2011. IEEE. pp. 1689–1696. doi:10.1109/cvpr.2011.5995477. ISBN 978-1-4577-0394-2.
Sanchez, Jorge; Perronnin, Florent (June 2011). "High-dimensional signature compression for large-scale image classification". CVPR 2011. IEEE. pp. 1665–1672. doi:10.1109/cvpr.2011.5995504. ISBN 978-1-4577-0394-2.
Perronnin, Florent; Sánchez, Jorge; Mensink, Thomas (2010). "Improving the Fisher Kernel for Large-Scale Image Classification". In Daniilidis, Kostas; Maragos, Petros; Paragios, Nikos (eds.). Computer Vision – ECCV 2010. Lecture Notes in Computer Science. Vol. 6314. Berlin, Heidelberg: Springer. pp. 143–156. doi:10.1007/978-3-642-15561-1_11. ISBN 978-3-642-15561-1.
Szegedy, Christian; Wei Liu; Yangqing Jia; Sermanet, Pierre; Reed, Scott; Anguelov, Dragomir; Erhan, Dumitru; Vanhoucke, Vincent; Rabinovich, Andrew (June 2015). "Going deeper with convolutions". 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 1–9. arXiv:1409.4842. doi:10.1109/CVPR.2015.7298594. ISBN 978-1-4673-6964-0.
Xie, Saining; Girshick, Ross; Dollar, Piotr; Tu, Zhuowen; He, Kaiming (2017). Aggregated Residual Transformations for Deep Neural Networks (PDF). Conference on Computer Vision and Pattern Recognition. pp. 1492–1500. arXiv:1611.05431. doi:10.1109/CVPR.2017.634.
Lyons, Michael (24 December 2020). "Excavating "Excavating AI": The Elephant in the Gallery". arXiv:2009.01215. doi:10.5281/zenodo.4037538. {{cite journal}}: Cite journal requires |journal= (help)

dx.doi.org

Biederman, Irving (1987). "Recognition-by-components: A theory of human image understanding". Psychological Review. 94 (2): 115–117. doi:10.1037/0033-295x.94.2.115. ISSN 0033-295X. PMID 3575582.
Lin, Yuanqing; Lv, Fengjun; Zhu, Shenghuo; Yang, Ming; Cour, Timothee; Yu, Kai; Cao, Liangliang; Huang, Thomas (June 2011). "Large-scale image classification: Fast feature extraction and SVM training". CVPR 2011. IEEE. pp. 1689–1696. doi:10.1109/cvpr.2011.5995477. ISBN 978-1-4577-0394-2.
Sanchez, Jorge; Perronnin, Florent (June 2011). "High-dimensional signature compression for large-scale image classification". CVPR 2011. IEEE. pp. 1665–1672. doi:10.1109/cvpr.2011.5995504. ISBN 978-1-4577-0394-2.

economist.com (Global: 254^th place; English: 236^th place)

"From not working to neural networking". The Economist. 25 June 2016. Retrieved 3 February 2018.

excavating.ai (Global: low place; English: low place)

Crawford, Kate; Paglen, Trevor (19 September 2019). "Excavating AI: The Politics of Training Sets for Machine Learning". -. Retrieved 22 September 2019.

ft.com (Global: 210^th place; English: 157^th place)

"Machines 'beat humans' for a growing number of tasks". Financial Times. 30 November 2017. Retrieved 3 February 2018.

github.com (Global: 383^rd place; English: 320^th place)

"std and mean for image normalization different from ImageNet · Issue #20 · openai/CLIP". GitHub. Retrieved 19 September 2024.

hal.science (Global: low place; English: low place)

inria.hal.science

Perronnin, Florent; Sánchez, Jorge; Mensink, Thomas (2010). "Improving the Fisher Kernel for Large-Scale Image Classification". In Daniilidis, Kostas; Maragos, Petros; Paragios, Nikos (eds.). Computer Vision – ECCV 2010. Lecture Notes in Computer Science. Vol. 6314. Berlin, Heidelberg: Springer. pp. 143–156. doi:10.1007/978-3-642-15561-1_11. ISBN 978-3-642-15561-1.

image-net.org (Global: low place; English: low place)

"ImageNet". 7 September 2020. Archived from the original on 7 September 2020. Retrieved 11 October 2022.
"ImageNet Overview". ImageNet. Retrieved 15 October 2022.
Li, Fei-Fei; Deng, Jia (2017). Where have we been? Where are we going? (PDF). Beyond ImageNet Large Scale Visual Recognition Challenge, Workshop at CVPR 2017 (Presentation).
Yang, Kaiyu; Qinami, Klint; Fei-Fei, Li; Deng, Jia; Russakovsky, Olga (17 September 2019). "Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy". image-net.org.
Deng, Jia; Dong, Wei; Socher, Richard; Li, Li-Jia; Li, Kai; Fei-Fei, Li (2009), "ImageNet: A Large-Scale Hierarchical Image Database" (PDF), 2009 conference on Computer Vision and Pattern Recognition, archived from the original (PDF) on 15 January 2021, retrieved 26 July 2017
"ImageNet Summary and Statistics (updated on April 30, 2010)". 15 January 2013. Archived from the original on 15 January 2013. Retrieved 13 November 2024.
"ImageNet API documentation". 22 January 2013. Archived from the original on 22 January 2013. Retrieved 13 November 2024.
Berg, Alex, Jia Deng, and L. Fei-Fei. "Large scale visual recognition challenge 2010." November 2010.
"ImageNet". 5 April 2013. Archived from the original on 5 April 2013. Retrieved 13 November 2024.
"ImageNet". Archived from the original on 5 April 2013.
"ImageNet". Archived from the original on 22 December 2019.
"ImageNet". www.image-net.org. Retrieved 19 October 2022.
"An Update to the ImageNet Website and Dataset". www.image-net.org. Retrieved 13 November 2024.
ImageNet classification: fast descriptor coding and large-scale SVM training
"ImageNet Large Scale Visual Recognition Competition 2012 (ILSVRC2012)".
"Ilsvrc2016".
"Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy". image-net.org. 17 September 2019. Retrieved 22 September 2019.

karpathy.github.io (Global: low place; English: low place)

Karpathy, Andrej (2 September 2014). "What I learned from competing against a ConvNet on ImageNet". Andrej Karpathy blog.

mlr.press (Global: low place; English: low place)

proceedings.mlr.press

Yang, Kaiyu; Yau, Jacqueline H.; Fei-Fei, Li; Deng, Jia; Russakovsky, Olga (28 June 2022). "A Study of Face Obfuscation in ImageNet". Proceedings of the 39th International Conference on Machine Learning. PMLR: 25313–25330.
Recht, Benjamin; Roelofs, Rebecca; Schmidt, Ludwig; Shankar, Vaishaal (24 May 2019). "Do ImageNet Classifiers Generalize to ImageNet?". Proceedings of the 36th International Conference on Machine Learning. PMLR: 5389–5400.

newscientist.com (Global: 774^th place; English: 716^th place)

"New computer vision challenge wants to teach robots to see in 3D". New Scientist. 7 April 2017. Retrieved 3 February 2018.
Aron, Jacob (21 September 2015). "Forget the Turing test – there are better ways of judging AI". New Scientist. Retrieved 22 June 2016.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

Biederman, Irving (1987). "Recognition-by-components: A theory of human image understanding". Psychological Review. 94 (2): 115–117. doi:10.1037/0033-295x.94.2.115. ISSN 0033-295X. PMID 3575582.

nips.cc (Global: low place; English: 7,050^th place)

papers.nips.cc

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (June 2017). "ImageNet classification with deep convolutional neural networks" (PDF). Communications of the ACM. 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782. S2CID 195908774. Retrieved 24 May 2017.

nsf.gov (Global: 3,828^th place; English: 2,823^rd place)

"NSF Award Search: Award # 1763642". www.nsf.gov. Retrieved 7 June 2025.

nytimes.com (Global: 7^th place; English: 7^th place)

Markoff, John (19 November 2012). "For Web Images, Creating New Technology to Seek and Find". The New York Times. Retrieved 3 February 2018.
Markoff, John (10 December 2015). "A Learning Advance in Artificial Intelligence Rivals Human Abilities". The New York Times. Retrieved 22 June 2016.

plus.google.com (Global: 3,615^th place; English: 6,420^th place)

"New community features for Google Chat and an update on Currents". Archived from the original on 22 May 2015.

qz.com (Global: 1,110^th place; English: 695^th place)

Gershgorn, Dave (26 July 2017). "The data that transformed AI research—and possibly the world". Quartz. Atlantic Media Co. Retrieved 26 July 2017. Having read about WordNet's approach, Li met with professor Christiane Fellbaum, a researcher influential in the continued work on WordNet, during a 2006 visit to Princeton.
Gershgorn, Dave (18 June 2018). "The inside story of how AI got good enough to dominate Silicon Valley". Quartz. Retrieved 10 December 2018.
Gershgorn, Dave (10 September 2017). "The Quartz guide to artificial intelligence: What is it, why is it important, and should we be afraid?". Quartz. Retrieved 3 February 2018.

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (June 2017). "ImageNet classification with deep convolutional neural networks" (PDF). Communications of the ACM. 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782. S2CID 195908774. Retrieved 24 May 2017.
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). "Deep Residual Learning for Image Recognition". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 770–778. arXiv:1512.03385. doi:10.1109/CVPR.2016.90. ISBN 978-1-4673-8851-1. S2CID 206594692.

springer.com (Global: 274^th place; English: 309^th place)

link.springer.com

Russakovsky, Olga; Fei-Fei, Li (2012). "Attribute Learning in Large-Scale Datasets". In Kutulakos, Kiriakos N. (ed.). Trends and Topics in Computer Vision. Lecture Notes in Computer Science. Vol. 6553. Berlin, Heidelberg: Springer. pp. 1–14. doi:10.1007/978-3-642-35749-7_1. ISBN 978-3-642-35749-7.

ted.com (Global: 2,327^th place; English: 1,627^th place)

Li, Fei-Fei (23 March 2015), How we're teaching computers to understand pictures, retrieved 16 December 2018

thecvf.com (Global: low place; English: low place)

openaccess.thecvf.com

Russakovsky, Olga; Deng, Jia; Huang, Zhiheng; Berg, Alexander C.; Fei-Fei, Li (2013). "Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going?": 2064–2071. {{cite journal}}: Cite journal requires |journal= (help)
Xie, Saining; Girshick, Ross; Dollar, Piotr; Tu, Zhuowen; He, Kaiming (2017). Aggregated Residual Transformations for Deep Neural Networks (PDF). Conference on Computer Vision and Pattern Recognition. pp. 1492–1500. arXiv:1611.05431. doi:10.1109/CVPR.2017.634.

theguardian.com (Global: 12^th place; English: 11^th place)

Wong, Julia Carrie (18 September 2019). "The viral selfie app ImageNet Roulette seemed fun – until it called me a racist slur". The Guardian. ISSN 0261-3077. Retrieved 22 September 2019.

web.archive.org (Global: 1^st place; English: 1^st place)

"ImageNet". 7 September 2020. Archived from the original on 7 September 2020. Retrieved 11 October 2022.
Li, F-F. ImageNet. "Crowdsourcing, benchmarking & other cool things." CMU VASC Semin 16 (2010): 18-25.
Deng, Jia; Dong, Wei; Socher, Richard; Li, Li-Jia; Li, Kai; Fei-Fei, Li (2009), "ImageNet: A Large-Scale Hierarchical Image Database" (PDF), 2009 conference on Computer Vision and Pattern Recognition, archived from the original (PDF) on 15 January 2021, retrieved 26 July 2017
Deng, Jia, et al. "Construction and analysis of a large scale image ontology." Vision Sciences Society 186.2 (2009).
"New community features for Google Chat and an update on Currents". Archived from the original on 22 May 2015.
"ImageNet Summary and Statistics (updated on April 30, 2010)". 15 January 2013. Archived from the original on 15 January 2013. Retrieved 13 November 2024.
"ImageNet API documentation". 22 January 2013. Archived from the original on 22 January 2013. Retrieved 13 November 2024.
"ImageNet". 5 April 2013. Archived from the original on 5 April 2013. Retrieved 13 November 2024.
https://web.archive.org/web/20181030191122/http://www.image-net.org/api/text/imagenet.sbow.obtain_synset_list
"ImageNet". Archived from the original on 5 April 2013.
"ImageNet". Archived from the original on 22 December 2019.
"XRCE@ILSVRC2011: Compressed Fisher vectors for LSVR", Florent Perronnin and Jorge Sánchez, Xerox Research Centre Europe (XRCE)

wired.com (Global: 193^rd place; English: 152^nd place)

Hempel, Jesse (13 November 2018). "Fei-Fei Li's Quest to Make AI Better for Humanity". Wired. Retrieved 5 May 2019. When Li, who had moved back to Princeton to take a job as an assistant professor in 2007, talked up her idea for ImageNet, she had a hard time getting faculty members to help out. Finally, a professor who specialized in computer architecture agreed to join her as a collaborator.
"The Viral App That Labels You Isn't Quite What You Think". Wired. ISSN 1059-1028. Retrieved 22 September 2019.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C.; Fei-Fei, Li (1 December 2015). "ImageNet Large Scale Visual Recognition Challenge". International Journal of Computer Vision. 115 (3): 211–252. arXiv:1409.0575. doi:10.1007/s11263-015-0816-y. ISSN 1573-1405.
Biederman, Irving (1987). "Recognition-by-components: A theory of human image understanding". Psychological Review. 94 (2): 115–117. doi:10.1037/0033-295x.94.2.115. ISSN 0033-295X. PMID 3575582.
Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (June 2017). "ImageNet classification with deep convolutional neural networks" (PDF). Communications of the ACM. 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782. S2CID 195908774. Retrieved 24 May 2017.
"The Viral App That Labels You Isn't Quite What You Think". Wired. ISSN 1059-1028. Retrieved 22 September 2019.
Wong, Julia Carrie (18 September 2019). "The viral selfie app ImageNet Roulette seemed fun – until it called me a racist slur". The Guardian. ISSN 0261-3077. Retrieved 22 September 2019.

ImageNet (English Wikipedia)

acm.org (Global: 1,185th place; English: 840th place)

dl.acm.org

arstechnica.com (Global: 388th place; English: 265th place)

arxiv.org (Global: 69th place; English: 59th place)

computer.org (Global: 5,196th place; English: 3,635th place)

tab.computer.org

doi.org (Global: 2nd place; English: 2nd place)

doi.org

dx.doi.org

economist.com (Global: 254th place; English: 236th place)

excavating.ai (Global: low place; English: low place)

ft.com (Global: 210th place; English: 157th place)

github.com (Global: 383rd place; English: 320th place)

hal.science (Global: low place; English: low place)

inria.hal.science

image-net.org (Global: low place; English: low place)

karpathy.github.io (Global: low place; English: low place)

mlr.press (Global: low place; English: low place)

proceedings.mlr.press

newscientist.com (Global: 774th place; English: 716th place)

nih.gov (Global: 4th place; English: 4th place)

pubmed.ncbi.nlm.nih.gov

nips.cc (Global: low place; English: 7,050th place)

papers.nips.cc

nsf.gov (Global: 3,828th place; English: 2,823rd place)

nytimes.com (Global: 7th place; English: 7th place)

plus.google.com (Global: 3,615th place; English: 6,420th place)

qz.com (Global: 1,110th place; English: 695th place)

semanticscholar.org (Global: 11th place; English: 8th place)

api.semanticscholar.org

springer.com (Global: 274th place; English: 309th place)

link.springer.com

ted.com (Global: 2,327th place; English: 1,627th place)

thecvf.com (Global: low place; English: low place)

openaccess.thecvf.com

theguardian.com (Global: 12th place; English: 11th place)

web.archive.org (Global: 1st place; English: 1st place)

wired.com (Global: 193rd place; English: 152nd place)

worldcat.org (Global: 5th place; English: 5th place)

search.worldcat.org

acm.org (Global: 1,185^th place; English: 840^th place)

arstechnica.com (Global: 388^th place; English: 265^th place)

arxiv.org (Global: 69^th place; English: 59^th place)

computer.org (Global: 5,196^th place; English: 3,635^th place)

doi.org (Global: 2^nd place; English: 2^nd place)

economist.com (Global: 254^th place; English: 236^th place)

ft.com (Global: 210^th place; English: 157^th place)

github.com (Global: 383^rd place; English: 320^th place)

newscientist.com (Global: 774^th place; English: 716^th place)

nih.gov (Global: 4^th place; English: 4^th place)

nips.cc (Global: low place; English: 7,050^th place)

nsf.gov (Global: 3,828^th place; English: 2,823^rd place)

nytimes.com (Global: 7^th place; English: 7^th place)

plus.google.com (Global: 3,615^th place; English: 6,420^th place)

qz.com (Global: 1,110^th place; English: 695^th place)

semanticscholar.org (Global: 11^th place; English: 8^th place)

springer.com (Global: 274^th place; English: 309^th place)

ted.com (Global: 2,327^th place; English: 1,627^th place)

theguardian.com (Global: 12^th place; English: 11^th place)

web.archive.org (Global: 1^st place; English: 1^st place)

wired.com (Global: 193^rd place; English: 152^nd place)

worldcat.org (Global: 5^th place; English: 5^th place)