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pro vyhledávání: '"Wang, Yuefeng"'
In this paper, we attempt to specialize the VLM model for OWOD tasks by distilling its open-world knowledge into a language-agnostic detector. Surprisingly, we observe that the combination of a simple \textbf{knowledge distillation} approach and the
Externí odkaz:
http://arxiv.org/abs/2312.08653
Autor:
WANG Yuefeng, JIAO Wei
Publikováno v:
Journal of Geodesy and Geoinformation Science, Vol 7, Iss 3, Pp 57-75 (2024)
The relentless progress in the research of geographic spatial data models and their application scenarios is propelling an unprecedented rich Level of Detail (LoD) in realistic 3D representation and smart cities. This pursuit of rich details not only
Externí odkaz:
https://doaj.org/article/266045a36a9d435490977dd97010f7f8
Autor:
Ma, Shuailei, Wang, Yuefeng, Wei, Ying, Chen, Peihao, Ye, Zhixiang, Fan, Jiaqi, Zhang, Enming, Li, Thomas H.
Open World Object Detection (OWOD) is a novel computer vision task with a considerable challenge, bridging the gap between classic object detection (OD) benchmarks and real-world object detection. In addition to detecting and classifying seen/known o
Externí odkaz:
http://arxiv.org/abs/2303.11623
Human-Object Interaction (HOI), as an important problem in computer vision, requires locating the human-object pair and identifying the interactive relationships between them. The HOI instance has a greater span in spatial, scale, and task than the i
Externí odkaz:
http://arxiv.org/abs/2301.04019
Open-world object detection (OWOD), as a more general and challenging goal, requires the model trained from data on known objects to detect both known and unknown objects and incrementally learn to identify these unknown objects. The existing works w
Externí odkaz:
http://arxiv.org/abs/2301.01970
Vehicle re-identification (Re-ID) is urgently demanded to alleviate thepressure caused by the increasingly onerous task of urban traffic management. Multiple challenges hamper the applications of vision-based vehicle Re-ID methods: (1) The appearance
Externí odkaz:
http://arxiv.org/abs/2204.13323
Autor:
Li, Xuejian, Hao, Yunqiao, Wang, Yuefeng, Shi, Hailong, Wang, Xiaojun, Hu, Xiaoshi, Xu, Chao, Yu, Jianxin
Publikováno v:
In Journal of Alloys and Compounds 15 November 2024 1005
Autor:
Liu, Xiaofeng, Liang, Huimin, Aslam, Mahwish, Wei, Guoqiang, Qin, Yuhong, Wang, Yuefeng, Du, Yujia, Guo, Qizhi, Wei, Yuexing, He, Chong
Publikováno v:
In Biomass and Bioenergy November 2024 190
Autor:
Fan, Jiaqi, Zhang, Enming, Wei, Ying, Wang, Yuefeng, Xia, Jiakun, Liu, Junwei, Liu, Xinghong, Ma, Shuailei
Publikováno v:
In Pattern Recognition Letters October 2024 186:170-177
Publikováno v:
In Journal of Hydrology: Regional Studies October 2024 55