Zobrazeno 1 - 10
of 597
pro vyhledávání: '"Zhang, Yueming"'
Autor:
Yang, Zhongyu, Liu, Mai, Xie, Jinluo, Zhang, Yueming, Shen, Chen, Shao, Wei, Jiao, Jichao, Xing, Tengfei, Hu, Runbo, Xu, Pengfei
Autonomous driving without high-definition (HD) maps demands a higher level of active scene understanding. In this competition, the organizers provided the multi-perspective camera images and standard-definition (SD) maps to explore the boundaries of
Externí odkaz:
http://arxiv.org/abs/2406.10125
In the realm of data protection, a striking disconnect prevails between traditional domains of doctrinal, legal, theoretical, and policy-based inquiries and a burgeoning body of empirical evidence. Much of the scholarly and regulatory discourse remai
Externí odkaz:
http://arxiv.org/abs/2310.16735
The thighbone is the largest bone supporting the lower body. If the thighbone fracture is not treated in time, it will lead to lifelong inability to walk. Correct diagnosis of thighbone disease is very important in orthopedic medicine. Deep learning
Externí odkaz:
http://arxiv.org/abs/2210.10998
Publikováno v:
Xin yixue, Vol 55, Iss 4, Pp 298-302 (2024)
Objective To evaluate the safety and feasibility of transumbilical single-port laparoscopic uterine artery embolization combined with incision and embryo retrieval in the treatment of cesarean scar pregnancy. Methods Eleven patients with cesarean sca
Externí odkaz:
https://doaj.org/article/8032e8095be54cc08ca19ab605859b26
Autor:
Zhang, Yueming, Yao, Xingxu, Liu, Chao, Chen, Feng, Song, Xiaolin, Xing, Tengfei, Hu, Runbo, Chai, Hua, Xu, Pengfei, Zhang, Guoshan
Single-stage detectors suffer from extreme foreground-background class imbalance, while two-stage detectors do not. Therefore, in semi-supervised object detection, two-stage detectors can deliver remarkable performance by only selecting high-quality
Externí odkaz:
http://arxiv.org/abs/2204.04492
Autor:
Luo, Xiongxin, Zhang, Yueming, Liu, Lindong, Berbille, Andy, Wang, Kaixuan, Han, Gaosi, Zhu, Laipan, Wang, Zhong Lin
Publikováno v:
In Journal of Materials Science & Technology 20 January 2025 206:125-134
Autor:
Liao, Haojin, Song, Xiaolin, Zhao, Sicheng, Zhang, Shanghang, Yue, Xiangyu, Yao, Xingxu, Zhang, Yueming, Xing, Tengfei, Xu, Pengfei, Wang, Qiang
The Visual Domain Adaptation (VisDA) 2021 Challenge calls for unsupervised domain adaptation (UDA) methods that can deal with both input distribution shift and label set variance between the source and target domains. In this report, we introduce a u
Externí odkaz:
http://arxiv.org/abs/2110.14240
Autor:
Zhang, Yueming, Song, Xiaolin, Bai, Bing, Xing, Tengfei, Liu, Chao, Gao, Xin, Wang, Zhihui, Wen, Yawei, Liao, Haojin, Zhang, Guoshan, Xu, Pengfei
In an autonomous driving system, it is essential to recognize vehicles, pedestrians and cyclists from images. Besides the high accuracy of the prediction, the requirement of real-time running brings new challenges for convolutional network models. In
Externí odkaz:
http://arxiv.org/abs/2106.08713
Publikováno v:
In Gastrointestinal Endoscopy April 2024 99(4):614-624
Publikováno v:
In Preventive Medicine Reports March 2024 39