Zobrazeno 1 - 10
of 383
pro vyhledávání: '"Yin, Changqing"'
Autor:
Liu, Shukai1 (AUTHOR) 2131505@tongji.edu.cn, Yin, Changqing1 (AUTHOR) yinchangqing@tongji.edu.cn, Zhang, Huijuan1 (AUTHOR)
Publikováno v:
Sensors (14248220). Feb2024, Vol. 24 Issue 4, p1187. 20p.
Autor:
Gao, Peng, García-Arias, Marcos, Wang, Yan, Huang, Huichan, Yin, Changqing, Zhang, Jian, Qian, Jiahui
Publikováno v:
In Chemical Geology 5 September 2024 661
Publikováno v:
In LITHOS September 2024 480-481
Autor:
Qiao, Hengzhong, Zhao, Guochun, Yin, Changqing, Qian, Jiahui, Wu, Shangjing, Deng, Peipei, Li, Jiawei
Publikováno v:
In Precambrian Research 15 August 2024 410
Publikováno v:
In Computer Science Review August 2024 53
Autor:
Wang, Yan, Gao, Peng, Sun, Guo-Chao, Mayne, Matthew Jason, Zhang, Jian, Yin, Changqing, Qian, Jiahui
Publikováno v:
In LITHOS April 2024 470-471
Autor:
Guo, Minjie, Zhang, Jian, Qian, Jiahui, Yin, Changqing, Gao, Peng, Hsia, Juiyen, Zhang, Shuhui, Yu, Chenying
Publikováno v:
In LITHOS March 2024 468-469
Autor:
Hsia, Juiyen, Zhang, Jian, Qian, Jiahui, Liu, Jin, Tian, Yuntao, Xian, Welson Weisheng, Yin, Changqing, Gao, Peng, Forster, Marnie, Guo, Minjie
Publikováno v:
In Tectonophysics 23 February 2024 873
Recently proposed decoupled training methods emerge as a dominant paradigm for long-tailed object detection. But they require an extra fine-tuning stage, and the disjointed optimization of representation and classifier might lead to suboptimal result
Externí odkaz:
http://arxiv.org/abs/2012.08548
Autor:
Tan, Jingru, Wang, Changbao, Li, Buyu, Li, Quanquan, Ouyang, Wanli, Yin, Changqing, Yan, Junjie
Object recognition techniques using convolutional neural networks (CNN) have achieved great success. However, state-of-the-art object detection methods still perform poorly on large vocabulary and long-tailed datasets, e.g. LVIS. In this work, we ana
Externí odkaz:
http://arxiv.org/abs/2003.05176