ImageNet (Japanese Wikipedia)

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

refsWebsite

Global rank Japanese rank

8image-net.org

low place

8doi.org

2^nd place

6^th place

5arxiv.org

69^th place

227^th place

4worldcat.org

5^th place

19^th place

3nytimes.com

7^th place

63^rd place

3qz.com

1,110^th place

4,470^th place

2newscientist.com

774^th place

1,286^th place

2wired.com

193^rd place

739^th place

2theguardian.com

12^th place

120^th place

2ieee.org

652^nd place

1,307^th place

1economist.com

254^th place

1,177^th place

1ted.com

2,327^th place

3,345^th place

1nikkei.com

211^th place

13^th place

1bbc.com

20^th place

100^th place

1pcworld.com

1,317^th place

3,649^th place

1ieice.org

low place

6,278^th place

1nii.ac.jp

304^th place

20^th place

1nips.cc

low place

1mlr.press

low place

1ft.com

210^th place

831^st place

1semanticscholar.org

11^th place

1,537^th place

1springer.com

274^th place

596^th place

1thegradient.pub

low place

1excavating.ai

low place

1gigazine.net

3,474^th place

248^th place

arxiv.org (Global: 69^th place; Japanese: 227^th place)

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): 770–778. arXiv:1512.03385. doi:10.1109/CVPR.2016.90. ISBN 978-1-4673-8851-1.
Ridnik, Tal; Ben-Baruch, Emanuel; Noy, Asaf; Zelnik-Manor, Lihi (5 August 2021). “ImageNet-21K Pretraining for the Masses”. arXiv:2104.10972 [cs.CV].
Lyons, Michael (4 September 2020). “Excavating "Excavating AI": The Elephant in the Gallery”. arXiv:2009.01215 [cs.CY].
Beyer, Lucas; Hénaff, Olivier J.; Kolesnikov, Alexander; Zhai, Xiaohua; Oord, Aäron van den (2020-06-12). “Are we done with ImageNet?”. arXiv:2006.07159 [cs]. https://arxiv.org/abs/2006.07159.
Yang, Kaiyu; Yau, Jacqueline; Fei-Fei, Li; Deng, Jia; Russakovsky, Olga (2021-03-14). “A Study of Face Obfuscation in ImageNet”. arXiv:2103.06191 [cs]. https://arxiv.org/abs/2103.06191.

bbc.com (Global: 20^th place; Japanese: 100^th place)

“Chinese search giant Baidu disqualified from AI test”. BBC News. 14 June 2015. 2016年6月22日閲覧.

doi.org (Global: 2^nd place; Japanese: 6^th place)

Li Liu (2020). “Deep Learning for Generic Object Detection: A Survey”. International Journal of Computer Vision 128: 265. doi:10.1007/s11263-019-01247-4.
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): 770–778. arXiv:1512.03385. doi:10.1109/CVPR.2016.90. ISBN 978-1-4673-8851-1.
Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (June 2017). “ImageNet classification with deep convolutional neural networks”. Communications of the ACM 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782 2017年5月24日閲覧。.
佐藤敦「安全安心な社会を支える画像認識技術(<特集>企業におけるAI研究の最前線)」『人工知能』第29巻第5号、人工知能学会、2014年、448-455頁、doi:10.11517/jjsai.29.5_448。
裕雄, 片岡「コンピュータビジョンによる動画認識」『Vision』第31巻第1号、2019年、1頁、doi:10.24636/vision.31.1_1。
Yun, Sangdoo; Oh, Seong Joon; Heo, Byeongho; Han, Dongyoon; Choe, Junsuk; Chun, Sanghyuk (2021-06). “Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels”. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA: IEEE): 2340. doi:10.1109/CVPR46437.2021.00237. ISBN 978-1-6654-4509-2.
Krause, Jonathan; Sapp, Benjamin; Howard, Andrew; Zhou, Howard; Toshev, Alexander; Duerig, Tom; Philbin, James; Fei-Fei, Li (2016), Leibe, Bastian; Matas, Jiri, eds. (英語), The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition, 9907, Springer International Publishing, pp. 301–320, doi:10.1007/978-3-319-46487-9_19, ISBN 978-3-319-46486-2 2024年10月23日閲覧。
Sun, Chen; Shrivastava, Abhinav; Singh, Saurabh; Gupta, Abhinav (2017-10). Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. IEEE. pp. 843–852. doi:10.1109/ICCV.2017.97. ISBN 978-1-5386-1032-9.

economist.com (Global: 254^th place; Japanese: 1,177^th place)

“From not working to neural networking”. The Economist. 25 June 2016. 2018年2月3日閲覧.

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

Crawford (2019年9月19日). “Excavating AI: The Politics of Training Sets for Machine Learning”. -. 2019年9月22日閲覧。

ft.com (Global: 210^th place; Japanese: 831^st place)

“Machines 'beat humans' for a growing number of tasks”. Financial Times. 30 November 2017. 2018年2月3日閲覧.

gigazine.net (Global: 3,474^th place; Japanese: 248^th place)

“巨大写真データセット「ImageNet」で攻撃的・差別的なカテゴリー分類タグ付けが判明し人物写真の半数以上を削除”. GIGAZINE. 2022年1月29日閲覧。

ieee.org (Global: 652^nd place; Japanese: 1,307^th place)

ieeexplore.ieee.org

Yun, Sangdoo; Oh, Seong Joon; Heo, Byeongho; Han, Dongyoon; Choe, Junsuk; Chun, Sanghyuk (2021-06). “Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels”. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA: IEEE): 2340. doi:10.1109/CVPR46437.2021.00237. ISBN 978-1-6654-4509-2.
Sun, Chen; Shrivastava, Abhinav; Singh, Saurabh; Gupta, Abhinav (2017-10). Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. IEEE. pp. 843–852. doi:10.1109/ICCV.2017.97. ISBN 978-1-5386-1032-9.

ieice.org (Global: low place; Japanese: 6,278^th place)

journal.ieice.org

中山英樹「画像解析関連コンペティションの潮流」『電子情報通信学会誌』第100巻第5号、電子情報通信学会、2017年5月、(377) 373-380、ISSN 09135693、CRID 1520572360426767104。

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

“ImageNet”. www.image-net.org. 2024年10月26日閲覧。
Deng, Jia; Dong, Wei; Socher, Richard; Li, Li-Jia; Li, Kai; Fei-Fei, Li (2009), “ImageNet: A Large-Scale Hierarchical Image Database”, 2009 conference on Computer Vision and Pattern Recognition
“ImageNet”. www.image-net.org. 2022年10月19日閲覧。
“About ImageNet”. ImageNet. 2024年10月31日閲覧。
“ImageNet Large Scale Visual Recognition Challenge 2014 (ILSVRC2014)”. www.image-net.org. 2024年11月2日閲覧。
“ImageNet Large Scale Visual Recognition Challenge (ILSVRC)”. www.image-net.org. 2024年11月2日閲覧。
“Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy”. image-net.org (2019年9月17日). 2019年9月22日閲覧。
“Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy”. image-net.org. 2022年1月28日閲覧。

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

proceedings.mlr.press

Recht, Benjamin; Roelofs, Rebecca; Schmidt, Ludwig; Shankar, Vaishaal (2019-05-24). “Do ImageNet Classifiers Generalize to ImageNet?” (英語). Proceedings of the 36th International Conference on Machine Learning (PMLR): 5389–5400.

newscientist.com (Global: 774^th place; Japanese: 1,286^th place)

“New computer vision challenge wants to teach robots to see in 3D”. New Scientist. 7 April 2017. 2018年2月3日閲覧.
Aron, Jacob (21 September 2015). “Forget the Turing test – there are better ways of judging AI”. New Scientist. 2016年6月22日閲覧.

nii.ac.jp (Global: 304^th place; Japanese: 20^th place)

cir.nii.ac.jp

中山英樹「画像解析関連コンペティションの潮流」『電子情報通信学会誌』第100巻第5号、電子情報通信学会、2017年5月、(377) 373-380、ISSN 09135693、CRID 1520572360426767104。

nikkei.com (Global: 211^th place; Japanese: 13^th place)

xtech.nikkei.com

日経Robotics（日経ロボティクス）. “《日経Robo》ImageNet後継コンテスト、中国ベンチャーMalong社が世界トップに”. 日経Robotics（日経ロボティクス）. 2022年1月28日閲覧。

nips.cc (Global: low place; Japanese: low place)

papers.nips.cc

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (June 2017). “ImageNet classification with deep convolutional neural networks”. Communications of the ACM 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782 2017年5月24日閲覧。.

nytimes.com (Global: 7^th place; Japanese: 63^rd place)

Markoff, John (19 November 2012). “For Web Images, Creating New Technology to Seek and Find”. The New York Times. 2018年2月3日閲覧.
Markoff, John (10 December 2015). “A Learning Advance in Artificial Intelligence Rivals Human Abilities”. The New York Times. 2016年6月22日閲覧.
Markoff, John (3 June 2015). “Computer Scientists Are Astir After Baidu Team Is Barred From A.I. Competition”. The New York Times. 2016年6月22日閲覧.

pcworld.com (Global: 1,317^th place; Japanese: 3,649^th place)

“Baidu fires researcher involved in AI contest flap”. PC World. 11 June 2015. 2016年6月22日閲覧.

qz.com (Global: 1,110^th place; Japanese: 4,470^th place)

Gershgorn (2017年7月26日). “The data that transformed AI research—and possibly the world”. Quartz. Atlantic Media Co.. 2017年7月26日閲覧。 “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 (10 September 2017). “The Quartz guide to artificial intelligence: What is it, why is it important, and should we be afraid?”. Quartz. 2018年2月3日閲覧.
Gershgorn. “The inside story of how AI got good enough to dominate Silicon Valley”. Quartz. 2018年12月10日閲覧。

semanticscholar.org (Global: 11^th place; Japanese: 1,537^th place)

Tsipras, Dimitris; Santurkar, Shibani; Engstrom, Logan; Ilyas, Andrew; Madry, A. (2020). “From ImageNet to Image Classification: Contextualizing Progress on Benchmarks”. ICML.

springer.com (Global: 274^th place; Japanese: 596^th place)

link.springer.com

Krause, Jonathan; Sapp, Benjamin; Howard, Andrew; Zhou, Howard; Toshev, Alexander; Duerig, Tom; Philbin, James; Fei-Fei, Li (2016), Leibe, Bastian; Matas, Jiri, eds. (英語), The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition, 9907, Springer International Publishing, pp. 301–320, doi:10.1007/978-3-319-46487-9_19, ISBN 978-3-319-46486-2 2024年10月23日閲覧。

ted.com (Global: 2,327^th place; Japanese: 3,345^th place)

Li, Fei-Fei, How we're teaching computers to understand pictures 2018年12月16日閲覧。

thegradient.pub (Global: low place; Japanese: low place)

“NLP's ImageNet moment has arrived” (英語). The Gradient (2018年7月8日). 2024年10月23日閲覧。

theguardian.com (Global: 12^th place; Japanese: 120^th place)

Robbins, Martin (6 May 2016). “Does an AI need to make love to Rembrandt's girlfriend to make art?”. The Guardian. 2016年6月22日閲覧.
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. 2019年9月22日閲覧.

wired.com (Global: 193^rd place; Japanese: 739^th place)

worldcat.org (Global: 5^th place; Japanese: 19^th place)

search.worldcat.org

中山英樹「画像解析関連コンペティションの潮流」『電子情報通信学会誌』第100巻第5号、電子情報通信学会、2017年5月、(377) 373-380、ISSN 09135693、CRID 1520572360426767104。
Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (June 2017). “ImageNet classification with deep convolutional neural networks”. Communications of the ACM 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782 2017年5月24日閲覧。.
“The Viral App That Labels You Isn't Quite What You Think”. Wired. ISSN 1059-1028. 2019年9月22日閲覧.
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. 2019年9月22日閲覧.

ImageNet (Japanese Wikipedia)

arxiv.org (Global: 69th place; Japanese: 227th place)

bbc.com (Global: 20th place; Japanese: 100th place)

doi.org (Global: 2nd place; Japanese: 6th place)

economist.com (Global: 254th place; Japanese: 1,177th place)

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

ft.com (Global: 210th place; Japanese: 831st place)

gigazine.net (Global: 3,474th place; Japanese: 248th place)

ieee.org (Global: 652nd place; Japanese: 1,307th place)

ieeexplore.ieee.org

ieice.org (Global: low place; Japanese: 6,278th place)

journal.ieice.org

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

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

proceedings.mlr.press

newscientist.com (Global: 774th place; Japanese: 1,286th place)

nii.ac.jp (Global: 304th place; Japanese: 20th place)

cir.nii.ac.jp

nikkei.com (Global: 211th place; Japanese: 13th place)

xtech.nikkei.com

nips.cc (Global: low place; Japanese: low place)

papers.nips.cc

nytimes.com (Global: 7th place; Japanese: 63rd place)

pcworld.com (Global: 1,317th place; Japanese: 3,649th place)

qz.com (Global: 1,110th place; Japanese: 4,470th place)

semanticscholar.org (Global: 11th place; Japanese: 1,537th place)

springer.com (Global: 274th place; Japanese: 596th place)

link.springer.com

ted.com (Global: 2,327th place; Japanese: 3,345th place)

thegradient.pub (Global: low place; Japanese: low place)

theguardian.com (Global: 12th place; Japanese: 120th place)

wired.com (Global: 193rd place; Japanese: 739th place)

worldcat.org (Global: 5th place; Japanese: 19th place)

search.worldcat.org

arxiv.org (Global: 69^th place; Japanese: 227^th place)

bbc.com (Global: 20^th place; Japanese: 100^th place)

doi.org (Global: 2^nd place; Japanese: 6^th place)

economist.com (Global: 254^th place; Japanese: 1,177^th place)

ft.com (Global: 210^th place; Japanese: 831^st place)

gigazine.net (Global: 3,474^th place; Japanese: 248^th place)

ieee.org (Global: 652^nd place; Japanese: 1,307^th place)

ieice.org (Global: low place; Japanese: 6,278^th place)

newscientist.com (Global: 774^th place; Japanese: 1,286^th place)

nii.ac.jp (Global: 304^th place; Japanese: 20^th place)

nikkei.com (Global: 211^th place; Japanese: 13^th place)

nytimes.com (Global: 7^th place; Japanese: 63^rd place)

pcworld.com (Global: 1,317^th place; Japanese: 3,649^th place)

qz.com (Global: 1,110^th place; Japanese: 4,470^th place)

semanticscholar.org (Global: 11^th place; Japanese: 1,537^th place)

springer.com (Global: 274^th place; Japanese: 596^th place)

ted.com (Global: 2,327^th place; Japanese: 3,345^th place)

theguardian.com (Global: 12^th place; Japanese: 120^th place)

wired.com (Global: 193^rd place; Japanese: 739^th place)

worldcat.org (Global: 5^th place; Japanese: 19^th place)