ImageNet (Chinese Wikipedia)

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

refsWebsite

Global rank Chinese rank

21web.archive.org

1^st place

4image-net.org

low place

3nytimes.com

7^th place

31^st place

3worldcat.org

5^th place

12^th place

2newscientist.com

774^th place

706^th place

2wired.com

193^rd place

421^st place

2qz.com

1,110^th place

1,562^nd place

2doi.org

2^nd place

23^rd place

2theguardian.com

12^th place

60^th place

1economist.com

254^th place

330^th place

1ted.com

2,327^th place

3,168^th place

1nips.cc

low place

6,768^th place

1arxiv.org

69^th place

254^th place

1bbc.com

20^th place

41^st place

1pcworld.com

1,317^th place

1,390^th place

1excavating.ai

low place

arxiv.org

He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian. Deep Residual Learning for Image Recognition.. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016: 770–778. ISBN 978-1-4673-8851-1. arXiv:1512.03385 . doi:10.1109/CVPR.2016.90.

bbc.com

Chinese search giant Baidu disqualified from AI test. BBC News. 2015-06-14 [2016-06-22]. （原始内容存档于2016-08-17）.

doi.org

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. June 2017, 60 (6): 84–90 [2017-05-24]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian. Deep Residual Learning for Image Recognition.. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016: 770–778. ISBN 978-1-4673-8851-1. arXiv:1512.03385 . doi:10.1109/CVPR.2016.90.

economist.com

From not working to neural networking. The Economist. 2016-06-25 [2018-02-03]. （原始内容存档于2016-12-31）.

excavating.ai

Crawford, Kate; Paglen, Trevor. Excavating AI: The Politics of Training Sets for Machine Learning. -. 2019-09-19 [2019-09-22]. （原始内容存档于2019-09-21）.

image-net.org

ImageNet Summary and Statistics. ImageNet. [2016-06-22]. （原始内容存档于2019-03-20）.
ImageNet Overview. ImageNet. [2016-06-22]. （原始内容存档于2016-07-04）.
Deng, Jia; Dong, Wei; Socher, Richard; Li, Li-Jia; Li, Kai; Fei-Fei, Li, ImageNet: A Large-Scale Hierarchical Image Database (PDF), 2009 conference on Computer Vision and Pattern Recognition, 2009 [2020-01-15], （原始内容存档 (PDF)于2021-01-15）
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy. image-net.org. 2019-09-17 [2019-09-22]. （原始内容存档于2019-09-22）.

newscientist.com

New computer vision challenge wants to teach robots to see in 3D. New Scientist. 2017-04-07 [2018-02-03]. （原始内容存档于2018-10-30）.
Aron, Jacob. Forget the Turing test – there are better ways of judging AI. New Scientist. 2015-09-21 [2016-06-22]. （原始内容存档于2016-04-13）.

nips.cc

papers.nips.cc

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. June 2017, 60 (6): 84–90 [2017-05-24]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.

nytimes.com

Markoff, John. For Web Images, Creating New Technology to Seek and Find. The New York Times. 2012-11-19 [2018-02-03]. （原始内容存档于2019-02-16）.
Markoff, John. A Learning Advance in Artificial Intelligence Rivals Human Abilities. The New York Times. 2015-12-10 [2016-06-22]. （原始内容存档于2016-04-17）.
Markoff, John. Computer Scientists Are Astir After Baidu Team Is Barred From A.I. Competition. The New York Times. 2015-06-03 [2016-06-22]. （原始内容存档于2016-05-23）.

pcworld.com

Baidu fires researcher involved in AI contest flap. PC World. 2015-06-11 [2016-06-22]. （原始内容存档于2016-08-28）.

qz.com

Gershgorn, Dave. The data that transformed AI research—and possibly the world. Quartz. Atlantic Media Co. 2017-07-26 [2017-07-26]. （原始内容存档于2017-07-27）. 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. The Quartz guide to artificial intelligence: What is it, why is it important, and should we be afraid?. Quartz. 2017-09-10 [2018-02-03]. （原始内容存档于2018-02-02）.

ted.com

Li, Fei-Fei, How we're teaching computers to understand pictures, [2018-12-16], （原始内容存档于2018-11-16）

theguardian.com

Robbins, Martin. Does an AI need to make love to Rembrandt's girlfriend to make art?. The Guardian. 2016-05-06 [2016-06-22]. （原始内容存档于2016-06-17）.
Wong, Julia Carrie. The viral selfie app ImageNet Roulette seemed fun – until it called me a racist slur. The Guardian. 2019-09-18 [2019-09-22]. ISSN 0261-3077. （原始内容存档于2019-09-21）.

web.archive.org

New computer vision challenge wants to teach robots to see in 3D. New Scientist. 2017-04-07 [2018-02-03]. （原始内容存档于2018-10-30）.
Markoff, John. For Web Images, Creating New Technology to Seek and Find. The New York Times. 2012-11-19 [2018-02-03]. （原始内容存档于2019-02-16）.
ImageNet Summary and Statistics. ImageNet. [2016-06-22]. （原始内容存档于2019-03-20）.
From not working to neural networking. The Economist. 2016-06-25 [2018-02-03]. （原始内容存档于2016-12-31）.
ImageNet Overview. ImageNet. [2016-06-22]. （原始内容存档于2016-07-04）.
Hempel, Jesse. Fei-Fei Li's Quest to Make AI Better for Humanity. Wired. 2018-11-13 [2019-05-05]. （原始内容存档于2018-12-06）. 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.
Gershgorn, Dave. The data that transformed AI research—and possibly the world. Quartz. Atlantic Media Co. 2017-07-26 [2017-07-26]. （原始内容存档于2017-07-27）. 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.
Deng, Jia; Dong, Wei; Socher, Richard; Li, Li-Jia; Li, Kai; Fei-Fei, Li, ImageNet: A Large-Scale Hierarchical Image Database (PDF), 2009 conference on Computer Vision and Pattern Recognition, 2009 [2020-01-15], （原始内容存档 (PDF)于2021-01-15）
Li, Fei-Fei, How we're teaching computers to understand pictures, [2018-12-16], （原始内容存档于2018-11-16）
Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. June 2017, 60 (6): 84–90 [2017-05-24]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.
Robbins, Martin. Does an AI need to make love to Rembrandt's girlfriend to make art?. The Guardian. 2016-05-06 [2016-06-22]. （原始内容存档于2016-06-17）.
Markoff, John. A Learning Advance in Artificial Intelligence Rivals Human Abilities. The New York Times. 2015-12-10 [2016-06-22]. （原始内容存档于2016-04-17）.
Aron, Jacob. Forget the Turing test – there are better ways of judging AI. New Scientist. 2015-09-21 [2016-06-22]. （原始内容存档于2016-04-13）.
Markoff, John. Computer Scientists Are Astir After Baidu Team Is Barred From A.I. Competition. The New York Times. 2015-06-03 [2016-06-22]. （原始内容存档于2016-05-23）.
Chinese search giant Baidu disqualified from AI test. BBC News. 2015-06-14 [2016-06-22]. （原始内容存档于2016-08-17）.
Baidu fires researcher involved in AI contest flap. PC World. 2015-06-11 [2016-06-22]. （原始内容存档于2016-08-28）.
Gershgorn, Dave. The Quartz guide to artificial intelligence: What is it, why is it important, and should we be afraid?. Quartz. 2017-09-10 [2018-02-03]. （原始内容存档于2018-02-02）.
The Viral App That Labels You Isn't Quite What You Think. Wired. [2019-09-22]. ISSN 1059-1028. （原始内容存档于2019-09-22）.
Wong, Julia Carrie. The viral selfie app ImageNet Roulette seemed fun – until it called me a racist slur. The Guardian. 2019-09-18 [2019-09-22]. ISSN 0261-3077. （原始内容存档于2019-09-21）.
Crawford, Kate; Paglen, Trevor. Excavating AI: The Politics of Training Sets for Machine Learning. -. 2019-09-19 [2019-09-22]. （原始内容存档于2019-09-21）.
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy. image-net.org. 2019-09-17 [2019-09-22]. （原始内容存档于2019-09-22）.

wired.com

Hempel, Jesse. Fei-Fei Li's Quest to Make AI Better for Humanity. Wired. 2018-11-13 [2019-05-05]. （原始内容存档于2018-12-06）. 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. [2019-09-22]. ISSN 1059-1028. （原始内容存档于2019-09-22）.

worldcat.org

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. June 2017, 60 (6): 84–90 [2017-05-24]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.
The Viral App That Labels You Isn't Quite What You Think. Wired. [2019-09-22]. ISSN 1059-1028. （原始内容存档于2019-09-22）.
Wong, Julia Carrie. The viral selfie app ImageNet Roulette seemed fun – until it called me a racist slur. The Guardian. 2019-09-18 [2019-09-22]. ISSN 0261-3077. （原始内容存档于2019-09-21）.