Zobrazeno 1 - 10
of 152 233
pro vyhledávání: '"Xiaofeng An"'
Publikováno v:
PLoS ONE, Vol 19, Iss 9, p e0307329 (2024)
Soyabean is an incredibly significant component of Chinese agricultural product, and categorizing soyabean seeds allows for a better understanding of the features, attributes, and applications of many species of soyabean. This enables farmers to choo
Externí odkaz:
https://doaj.org/article/d023771041b645f2ac5384e3b869046e
Autor:
Zhao, Guosheng, Ni, Chaojun, Wang, Xiaofeng, Zhu, Zheng, Huang, Guan, Chen, Xinze, Wang, Boyuan, Zhang, Youyi, Mei, Wenjun, Wang, Xingang
Closed-loop simulation is essential for advancing end-to-end autonomous driving systems. Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on conditions closely aligned with training data distributions, which are large
Externí odkaz:
http://arxiv.org/abs/2410.13571
Parameter-Efficient Fine-Tuning (PEFT) methods have gained significant popularity for adapting pre-trained Large Language Models (LLMs) to downstream tasks, primarily due to their potential to significantly reduce memory and computational overheads.
Externí odkaz:
http://arxiv.org/abs/2410.11772
The glyphic writing system of Chinese incorporates information-rich visual features in each character, such as radicals that provide hints about meaning or pronunciation. However, there has been no investigation into whether contemporary Large Langua
Externí odkaz:
http://arxiv.org/abs/2410.09013
Autor:
Wang, Xiaofeng, Geurts, Frank, Tang, Zebo, Xin, Kefeng, Xu, Zhangbu, Zhang, Yifei, Zhou, Long
The discovery of exotic mounic atoms, including antimatter hydrogen muonic atoms and kaon mounic atoms, constitutes a milestone in our ability to make and study new forms of matter. Relativistic heavy-ion collisions provide the only likely condition
Externí odkaz:
http://arxiv.org/abs/2410.06518
Autor:
Li, Jiachen, Long, Qian, Zheng, Jian, Gao, Xiaofeng, Piramuthu, Robinson, Chen, Wenhu, Wang, William Yang
In this paper, we focus on enhancing a diffusion-based text-to-video (T2V) model during the post-training phase by distilling a highly capable consistency model from a pretrained T2V model. Our proposed method, T2V-Turbo-v2, introduces a significant
Externí odkaz:
http://arxiv.org/abs/2410.05677
Autor:
Wan, Zhenglin, Yu, Xingrui, Bossens, David Mark, Lyu, Yueming, Guo, Qing, Fan, Flint Xiaofeng, Tsang, Ivor
Imitation learning (IL) has shown great potential in various applications, such as robot control. However, traditional IL methods are usually designed to learn only one specific type of behavior since demonstrations typically correspond to a single e
Externí odkaz:
http://arxiv.org/abs/2410.06151
Rydberg excitons in transition metal dichalcogenides (TMDs) have emerged as a promising platform for investigating the properties of open quantum systems, thanks to their large binding energies(hundreds of meV). However, the study of Rydberg excitons
Externí odkaz:
http://arxiv.org/abs/2410.05976
The Segment Anything Model (SAM) is a foundational model for image segmentation tasks, known for its strong generalization across diverse applications. However, its impressive performance comes with significant computational and resource demands, mak
Externí odkaz:
http://arxiv.org/abs/2410.04960
This paper presents an innovative approach called BGTAI to simplify multimodal understanding by utilizing gloss-based annotation as an intermediate step in aligning Text and Audio with Images. While the dynamic temporal factors in textual and audio i
Externí odkaz:
http://arxiv.org/abs/2410.03146