Zobrazeno 1 - 10
of 376
pro vyhledávání: '"Li, Bailin"'
Autor:
Tian, Xiaoyu, Gu, Junru, Li, Bailin, Liu, Yicheng, Wang, Yang, Zhao, Zhiyong, Zhan, Kun, Jia, Peng, Lang, Xianpeng, Zhao, Hang
A primary hurdle of autonomous driving in urban environments is understanding complex and long-tail scenarios, such as challenging road conditions and delicate human behaviors. We introduce DriveVLM, an autonomous driving system leveraging Vision-Lan
Externí odkaz:
http://arxiv.org/abs/2402.12289
Autor:
Jaqueth, Jennifer S.1 (AUTHOR) jennifer.jaqueth@corteva.com, Li, Bailin1 (AUTHOR), Vollbrecht, Erik2 (AUTHOR)
Publikováno v:
PLoS ONE. 7/10/2024, Vol. 19 Issue 7, p1-14. 14p.
Publikováno v:
In Case Studies in Construction Materials July 2024 20
Publikováno v:
In Expert Systems With Applications 1 June 2024 243
Though beneficial for encouraging the Visual Question Answering (VQA) models to discover the underlying knowledge by exploiting the input-output correlation beyond image and text contexts, the existing knowledge VQA datasets are mostly annotated in a
Externí odkaz:
http://arxiv.org/abs/2012.07192
Publikováno v:
In Journal of Manufacturing Systems December 2023 71:206-223
Autor:
Yao, Dengju1 (AUTHOR) ydkvictory@hrbust.edu.cn, Li, Bailin1 (AUTHOR), Zhan, Xiaojuan1,2 (AUTHOR), Zhan, Xiaorong3 (AUTHOR), Yu, Liyang1 (AUTHOR)
Publikováno v:
BMC Bioinformatics. 1/2/2024, Vol. 25 Issue 1, p1-19. 19p.
Finding out the computational redundant part of a trained Deep Neural Network (DNN) is the key question that pruning algorithms target on. Many algorithms try to predict model performance of the pruned sub-nets by introducing various evaluation metho
Externí odkaz:
http://arxiv.org/abs/2007.02491
Explanation and high-order reasoning capabilities are crucial for real-world visual question answering with diverse levels of inference complexity (e.g., what is the dog that is near the girl playing with?) and important for users to understand and d
Externí odkaz:
http://arxiv.org/abs/1909.10128
Publikováno v:
In Information Sciences August 2023 637