Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Duan, Zhizhao"'
In the vast and dynamic landscape of urban settings, Traffic Safety Description and Analysis plays a pivotal role in applications ranging from insurance inspection to accident prevention. This paper introduces CityLLaVA, a novel fine-tuning framework
Externí odkaz:
http://arxiv.org/abs/2405.03194
Autor:
Yang, Xitao, Duan, Zhizhao, Hu, Yuhua, Liu, Jincheng, Xu, Yanchun, Hu, Huijian, Hua, Guodong, Liu, Xinke, Gan, Jiajun, Zeng, Xiangwu, Lin, Shouming
Publikováno v:
In Ocean and Coastal Management 1 November 2021 213
Publikováno v:
Multimedia Tools and Applications. 80:28879-28896
Glass Passivation Parts (GPP) wafer texture defects are one of the most important factors affecting the accuracy of wafer defect detection. Template matching has local errors and low efficiency, and deep learning requires many training samples. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b0350967a2b72fc77128de4a52c7cd2
https://doi.org/10.1007/s11042-021-11084-8
https://doi.org/10.1007/s11042-021-11084-8
Autor:
Yang, Xitao, Duan, Zhizhao, Li, Shuangshuang, Zhang, Chunxia, Qu, Ming, Hua, Guodong, Niu, Xiaonan, Hu, Huijian, Yu, Dongmei
Publikováno v:
Frontiers in Ecology and Evolution, Vol 9 (2022)
The diverse habitat of the coastal areas of Guangdong, China, supports important waterbird populations, thereby contributing to the conservation of waterbirds in China and globally. The sensitivity of different waterbirds to environmental driving fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::817a48826b21bdd7291cb32873c79569
https://doi.org/10.3389/fevo.2021.808105
https://doi.org/10.3389/fevo.2021.808105
Publikováno v:
Sensors, Vol 21, Iss 1365, p 1365 (2021)
Sensors
Volume 21
Issue 4
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 4
Sensors (Basel, Switzerland)
Semantic segmentation of room maps is an essential issue in mobile robots’ execution of tasks. In this work, a new approach to obtain the semantic labels of 2D lidar room maps by combining distance transform watershed-based pre-segmentation and a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::092d1d525012776c1c84e55ceb6cfb25
https://www.mdpi.com/1424-8220/21/4/1365
https://www.mdpi.com/1424-8220/21/4/1365
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