Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Xu, Zongyi"'
Autor:
Chen, Yilong, Xu, Zongyi, Huang, Xiaoshui, Zhao, Shanshan, Jiang, Xinqi, Gao, Xinyu, Gao, Xinbo
Compared to single-modal knowledge distillation, cross-modal knowledge distillation faces more severe challenges due to domain gaps between modalities. Although various methods have proposed various solutions to overcome these challenges, there is st
Externí odkaz:
http://arxiv.org/abs/2409.02438
Weakly supervised LiDAR semantic segmentation has made significant strides with limited labeled data. However, most existing methods focus on the network training under weak supervision, while efficient annotation strategies remain largely unexplored
Externí odkaz:
http://arxiv.org/abs/2404.12861
Impressive performance on point cloud semantic segmentation has been achieved by fully-supervised methods with large amounts of labelled data. As it is labour-intensive to acquire large-scale point cloud data with point-wise labels, many attempts hav
Externí odkaz:
http://arxiv.org/abs/2308.11166
Autor:
Wang, Yuyang, Chen, Shuoran, Xu, Zongyi, Bao, Xiwei, Dong, Yuxiang, Li, Lin, Shi, Yizhong, Wan, Shigang, Ye, Changqing
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 5 January 2025 324
Accurate and efficient point cloud registration is a challenge because the noise and a large number of points impact the correspondence search. This challenge is still a remaining research problem since most of the existing methods rely on correspond
Externí odkaz:
http://arxiv.org/abs/2111.11783
International Classification of Disease (ICD) codes are widely used for encoding diagnoses in electronic health records (EHR). Automated methods have been developed over the years for predicting biomedical responses using EHR that borrow information
Externí odkaz:
http://arxiv.org/abs/2108.01813
Registration of 3D human body has been a challenging research topic for over decades. Most of the traditional human body registration methods require manual assistance, or other auxiliary information such as texture and markers. The majority of these
Externí odkaz:
http://arxiv.org/abs/1811.10175
Autor:
Huang, Xiaoshui, Wang, Yangfu, Li, Sheng, Mei, Guofeng, Xu, Zongyi, Wang, Yucheng, Zhang, Jian, Bennamoun, Mohammed
Publikováno v:
In Computer Vision and Image Understanding November 2022 224
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.