Zobrazeno 1 - 10
of 383
pro vyhledávání: '"Liu, Zihang"'
Recent advances in foundation models have emphasized the need to align pre-trained models with specialized domains using small, curated datasets. Studies on these foundation models underscore the importance of low-data training and fine-tuning. This
Externí odkaz:
http://arxiv.org/abs/2410.12178
Spatial-temporal data modeling aims to mine the underlying spatial relationships and temporal dependencies of objects in a system. However, most existing methods focus on the modeling of spatial-temporal data in a single mode, lacking the understandi
Externí odkaz:
http://arxiv.org/abs/2308.11204
Multiple Object Tracking (MOT) has rapidly progressed in recent years. Existing works tend to design a single tracking algorithm to perform both detection and association. Though ensemble learning has been exploited in many tasks, i.e, classification
Externí odkaz:
http://arxiv.org/abs/2210.05278
Given a sequence of sets, where each set has a timestamp and contains an arbitrary number of elements, temporal sets prediction aims to predict the elements in the subsequent set. Previous studies for temporal sets prediction mainly focus on the mode
Externí odkaz:
http://arxiv.org/abs/2204.05490
Autor:
Yang, Jun, Tian, Erkang, Chen, Li, Liu, Zihang, Ren, Yijiu, Mao, Wuyu, Zhang, Yiwen, Zhang, Jifa
Publikováno v:
In European Journal of Medicinal Chemistry 5 September 2024 275
Publikováno v:
IEEE Access, Vol 12, Pp 152825-152838 (2024)
Manual microscopic inspection of activated sludge is costly, expertise-intensive, and prone to errors, limiting its widespread use. To address these challenges, we propose an improved visual model based on YOLOv8n. This model integrates an optimized
Externí odkaz:
https://doaj.org/article/ebefbdc625db42d9811526c4ebaa506a
Autor:
Liu, Zihang, Zhao, Chunhui
The performance of supervised deep learning methods for medical image segmentation is often limited by the scarcity of labeled data. As a promising research direction, semi-supervised learning addresses this dilemma by leveraging unlabeled data infor
Externí odkaz:
http://arxiv.org/abs/2202.06104
Autor:
Zhu, Yu-Ke, Sun, Yuxin, Dong, Xingyan, Yin, Li, Liu, Ming, Guo, Muchun, Wu, Hao, Li, Fushan, Guo, Zhentao, Wang, Xingyue, Yu, Kuai, Guo, Fengkai, Zhang, Qian, Liu, Zihang, Cai, Wei, Sui, Jiehe
Publikováno v:
In Joule 21 August 2024 8(8):2412-2424
Publikováno v:
In European Journal of Medicinal Chemistry 5 June 2024 272
Autor:
Yang, Jiancheng, Zhang, Mingkai, Zhang, Yiqing, Gao, Mengyi, Gao, Mengkai, Wang, Kaihui, Song, Zixuan, Liu, Zihang, Wang, Zhuozhi, Shen, Boxiong
Publikováno v:
In Chemical Physics Impact June 2024 8