Zobrazeno 1 - 10
of 276
pro vyhledávání: '"Xu Jingsong"'
Autor:
Geng, Jun, Roujean, Jean-Louis, Kuusk, Andres, Pang, Yong, Tu, Lili, Zhang, Teng, Xu, Jingsong, Chen, Jing M.
Publikováno v:
In Agricultural and Forest Meteorology 1 June 2024 352
Autor:
Liu, Xie, Sheng, Bo, Zhang, Jianbo, Wang, Jijian, Yu, Jun, Zhang, Guanggang, Dai, Fengshun, Su, Heng, Xu, Jingsong, Hu, Wei, Li, Tong, Zhu, Peng
Publikováno v:
In Heliyon 15 April 2024 10(7)
Inspired by the fact that spreading and collecting information through the Internet becomes the norm, more and more people choose to post for-profit contents (images and texts) in social networks. Due to the difficulty of network censors, malicious m
Externí odkaz:
http://arxiv.org/abs/2005.08706
Autor:
Ba, Jingwen, Chen, Jinfan, Xiong, Renjin, Xu, Jingsong, Li, Haibo, Yan, Xiayan, Qin, Cheng, Li, Rui, Pan, Qifa, Tan, Xinxin, Tang, Tao, Xiang, Xin, Meng, Daqiao
Publikováno v:
In Chemical Engineering Journal 1 January 2024 479
Autor:
Liu, Yu, Xu, Jingsong, Chen, Xiaoying, Yang, Shuang, Li, Jiajun, Zhou, Hongbo, Liu, Qian, Liu, Wei, Li, Min, Wang, Hua
Publikováno v:
In Microchemical Journal January 2024 196
Autor:
Wang, Yuting, Xu, Jingsong, Cao, Li, Yang, Shuang, Zhao, Lina, He, Lei, Shen, Zhen, Lin, Weiwei, Shi, Bishen, Liu, Qian, Huang, Zhi, Li, Min, Wang, Hua
Publikováno v:
In Microchemical Journal August 2023 191
Cross-domain person re-identification (re-ID) is challenging due to the bias between training and testing domains. We observe that if backgrounds in the training and testing datasets are very different, it dramatically introduces difficulties to extr
Externí odkaz:
http://arxiv.org/abs/1908.09086
Deep neural networks have demonstrated advanced abilities on various visual classification tasks, which heavily rely on the large-scale training samples with annotated ground-truth. However, it is unrealistic always to require such annotation in real
Externí odkaz:
http://arxiv.org/abs/1908.01313
The recognition ability of human beings is developed in a progressive way. Usually, children learn to discriminate various objects from coarse to fine-grained with limited supervision. Inspired by this learning process, we propose a simple yet effect
Externí odkaz:
http://arxiv.org/abs/1904.03580
Publikováno v:
In Results in Physics May 2023 48