Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Li Yingyan"'
Autor:
Fu Yaning, Chen Huan, Zheng Saijing, Zhang Sen, Zhang Yichun, Yan Daiwei, Wang Hongjuan, Han Shulei, Tian Yushan, Li Yingyan, Li Guoyu, Liu Tong, Zhao Huimin, Su Yue, Hou Hongwei, Hu Qingyuan
Publikováno v:
Contributions to Tobacco and Nicotine Research, Vol 32, Iss 3, Pp 101-112 (2023)
Increasing tobacco control and public health awareness have increased smokers’ attempts to quit smoking. However, some smokers also seek alternative products claimed to pose less risks. The use of smokeless tobacco (ST) products may thus increase i
Externí odkaz:
https://doaj.org/article/0b2012172ce341c4baed4aa77d070af3
End-to-end autonomous driving has garnered widespread attention. Current end-to-end approaches largely rely on the supervision from perception tasks such as detection, tracking, and map segmentation to aid in learning scene representations. However,
Externí odkaz:
http://arxiv.org/abs/2406.08481
Currently prevalent multimodal 3D detection methods are built upon LiDAR-based detectors that usually use dense Bird's-Eye-View (BEV) feature maps. However, the cost of such BEV feature maps is quadratic to the detection range, making it not suitable
Externí odkaz:
http://arxiv.org/abs/2304.12310
Estimating accurate 3D locations of objects from monocular images is a challenging problem because of lacking depth. Previous work shows that utilizing the object's keypoint projection constraints to estimate multiple depth candidates boosts the dete
Externí odkaz:
http://arxiv.org/abs/2207.10047
Autor:
Li, Yingyan, Zhu, Lijie, Zhou, Yingjie, Li, He, Liu, Xinqi, Chen, Lei, Wang, Guozhen, Shen, Qian, Liu, Xiuying, Ding, Wenping
Publikováno v:
In Food Bioscience June 2024 59
Autor:
Zhou, Yingjie, Zhu, Lijie, Li, Yingyan, Guo, Feng, Chen, Lei, Wang, Guozhen, Shen, Qian, Liu, Xiuying, Ding, Wenping
Publikováno v:
In LWT 1 May 2024 199
Autor:
He, Xiaobiao, Luo, Qun, Jiang, Zhenxue, Qiu, Zhaoxuan, Luo, Jinchang, Li, Yingyan, Deng, Yuan
Publikováno v:
In Journal of Asian Earth Sciences 1 May 2024 266
Autor:
Fan, Qingqing, Liu, Dadong, Xu, Mingyang, Zhao, Shuai, Tang, Zijun, Xiao, Dianshi, Li, Yingyan, Deng, Yuan, Du, Wei, Zhang, Ziya
Publikováno v:
In Marine and Petroleum Geology March 2024 161
Pre-training and fine-tuning have achieved remarkable success in many downstream natural language processing (NLP) tasks. Recently, pre-training methods tailored for information retrieval (IR) have also been explored, and the latest success is the PR
Externí odkaz:
http://arxiv.org/abs/2104.09791
Autor:
Huo, Yuqi, Zhang, Manli, Liu, Guangzhen, Lu, Haoyu, Gao, Yizhao, Yang, Guoxing, Wen, Jingyuan, Zhang, Heng, Xu, Baogui, Zheng, Weihao, Xi, Zongzheng, Yang, Yueqian, Hu, Anwen, Zhao, Jinming, Li, Ruichen, Zhao, Yida, Zhang, Liang, Song, Yuqing, Hong, Xin, Cui, Wanqing, Hou, Danyang, Li, Yingyan, Li, Junyi, Liu, Peiyu, Gong, Zheng, Jin, Chuhao, Sun, Yuchong, Chen, Shizhe, Lu, Zhiwu, Dou, Zhicheng, Jin, Qin, Lan, Yanyan, Zhao, Wayne Xin, Song, Ruihua, Wen, Ji-Rong
Multi-modal pre-training models have been intensively explored to bridge vision and language in recent years. However, most of them explicitly model the cross-modal interaction between image-text pairs, by assuming that there exists strong semantic c
Externí odkaz:
http://arxiv.org/abs/2103.06561