最新のML,CV,NLP関連論文読み会@ABEJA
https://abeja-innovation-meetup.connpass.com/event/57686/
Yandong Wen, Kaipeng Zhang, Zhifeng Li and Yu Qiao. center loss ( A Discriminative Feature Learning Approach for Deep Face
Recognition ), eccv, 2016.
http://ydwen.github.io/papers/WenECCV16.pdf
文献紹介:Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segm...Toru Tamaki
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph; Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 2918-2928
https://openaccess.thecvf.com/content/CVPR2021/html/Ghiasi_Simple_Copy-Paste_Is_a_Strong_Data_Augmentation_Method_for_Instance_CVPR_2021_paper.html
How to organize data science project (データサイエンスプロジェクトの始め方101)Yasuyuki Kataoka
(Japanese) This is some tips on how to organize artificial intelligence or machine learning projects. This is presented in the engineering community event, NTT Engineer Festa#3, in Japan.
最新のML,CV,NLP関連論文読み会@ABEJA
https://abeja-innovation-meetup.connpass.com/event/57686/
Yandong Wen, Kaipeng Zhang, Zhifeng Li and Yu Qiao. center loss ( A Discriminative Feature Learning Approach for Deep Face
Recognition ), eccv, 2016.
http://ydwen.github.io/papers/WenECCV16.pdf
文献紹介:Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segm...Toru Tamaki
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph; Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 2918-2928
https://openaccess.thecvf.com/content/CVPR2021/html/Ghiasi_Simple_Copy-Paste_Is_a_Strong_Data_Augmentation_Method_for_Instance_CVPR_2021_paper.html
How to organize data science project (データサイエンスプロジェクトの始め方101)Yasuyuki Kataoka
(Japanese) This is some tips on how to organize artificial intelligence or machine learning projects. This is presented in the engineering community event, NTT Engineer Festa#3, in Japan.