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pro vyhledávání: '"Tan, Shiwei"'
Vision transformers (ViTs) have emerged as a significant area of focus, particularly for their capacity to be jointly trained with large language models and to serve as robust vision foundation models. Yet, the development of trustworthy explanation
Externí odkaz:
http://arxiv.org/abs/2406.12649
Autor:
Wang, Hengyi, Shi, Haizhou, Tan, Shiwei, Qin, Weiyi, Wang, Wenyuan, Zhang, Tunyu, Nambi, Akshay, Ganu, Tanuja, Wang, Hao
Multimodal Large Language Models (MLLMs) have shown significant promise in various applications, leading to broad interest from researchers and practitioners alike. However, a comprehensive evaluation of their long-context capabilities remains undere
Externí odkaz:
http://arxiv.org/abs/2406.11230
Autor:
Chu, Ruixia, Tan, Shiwei, Qiao, Yi, Fu, Wenjun, Zhang, Kesong, Zhu, Peidong, Liu, Dongying, Huang, Wanyou
Publikováno v:
Journal of Physics: Conference Series; Aug2023, Vol. 2563 Issue 1, p1-5, 5p
Autor:
Chu, Ruixia, Huang, Wanyou, Yang, Jun, Zhang, Kesong, Qiu, Fangyuan, Tan, Shiwei, Zhu, Peidong, Liu, Dongying
Publikováno v:
Journal of Physics: Conference Series; Aug2023, Vol. 2563 Issue 1, p1-5, 5p
Publikováno v:
PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021.
Autor:
Chu, Ruixia, Zou, Yujian, Zhu, Peidong, Tan, Shiwei, Qiu, Fangyuan, Fu, Wenjun, Niu, Fu, Huang, Wanyou
Publikováno v:
Energies (19961073); Dec2022, Vol. 15 Issue 23, p9235, 32p
Akademický článek
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Publikováno v:
Proceedings of 2014 3rd Asia-Pacific Conference on Antennas & Propagation; 2014, p108-111, 4p
Autor:
Zhang, Xin, Tan, Shiwei
Publikováno v:
2013 IEEE International Conference of IEEE Region 10 (TENCON 2013); 2013, p1-5, 5p