Zobrazeno 1 - 10
of 575
pro vyhledávání: '"He Yuhang"'
Publikováno v:
Polish Maritime Research, Vol 31, Iss 1, Pp 102-113 (2024)
Rotor-bearing systems are important components of rotating machinery and transmission systems, and imbalance and misalignment are inevitable in such systems. At present, the main challenges faced by state-of-the-art fault diagnosis methods involve th
Externí odkaz:
https://doaj.org/article/5478a5075a724380a451ba0e375c21f0
Despite significant advancements in Text-to-Audio (TTA) generation models achieving high-fidelity audio with fine-grained context understanding, they struggle to model the relations between audio events described in the input text. However, previous
Externí odkaz:
http://arxiv.org/abs/2412.15922
Autor:
Wan, Cong, Luo, Xiangyang, Cai, Zijian, Song, Yiren, Zhao, Yunlong, Bai, Yifan, He, Yuhang, Gong, Yihong
In this paper, we introduce GRID, a novel paradigm that reframes a broad range of visual generation tasks as the problem of arranging grids, akin to film strips. At its core, GRID transforms temporal sequences into grid layouts, enabling image genera
Externí odkaz:
http://arxiv.org/abs/2412.10718
Autonomous driving requires a comprehensive understanding of 3D environments to facilitate high-level tasks such as motion prediction, planning, and mapping. In this paper, we introduce DriveMLLM, a benchmark specifically designed to evaluate the spa
Externí odkaz:
http://arxiv.org/abs/2411.13112
Existing prompt learning methods in Vision-Language Models (VLM) have effectively enhanced the transfer capability of VLM to downstream tasks, but they suffer from a significant decline in generalization due to severe overfitting. To address this iss
Externí odkaz:
http://arxiv.org/abs/2410.10247
Autor:
Lu Ming, Liao Hualin, Wang Huajian, Liu Jiansheng, He Yuhang, Qu Fengtao, Niu Wenlong, Wang Yifan
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
The slip of the packer is the core part of the anchoring system. Unreasonable design of the slip structure can easily cause damage to the anchor claw of the slip, unstable anchoring, and even damage to the casing. At present, the main methods of slip
Externí odkaz:
https://doaj.org/article/7be2e736b79f4ddabdadcbb58c67ef0e
Non-exemplar class Incremental Learning (NECIL) enables models to continuously acquire new classes without retraining from scratch and storing old task exemplars, addressing privacy and storage issues. However, the absence of data from earlier tasks
Externí odkaz:
http://arxiv.org/abs/2409.14983
Diffusion models have revolutionized customized text-to-image generation, allowing for efficient synthesis of photos from personal data with textual descriptions. However, these advancements bring forth risks including privacy breaches and unauthoriz
Externí odkaz:
http://arxiv.org/abs/2408.10571
Autor:
Lin, Jiayu, Chen, Guanrong, Jin, Bojun, Li, Chenyang, Jia, Shutong, Lin, Wancong, Sun, Yang, He, Yuhang, Yang, Caihua, Bao, Jianzhu, Wu, Jipeng, Su, Wen, Chen, Jinglu, Li, Xinyi, Chen, Tianyu, Han, Mingjie, Du, Shuaiwen, Wang, Zijian, Li, Jiyin, Suo, Fuzhong, Wang, Hao, Lin, Nuanchen, Huang, Xuanjing, Jiang, Changjian, Xu, RuiFeng, Zhang, Long, Cao, Jiuxin, Jin, Ting, Wei, Zhongyu
In this paper we present the results of the AI-Debater 2023 Challenge held by the Chinese Conference on Affect Computing (CCAC 2023), and introduce the related datasets. We organize two tracks to handle the argumentative generation tasks in different
Externí odkaz:
http://arxiv.org/abs/2407.14829
The problem of Rehearsal-Free Continual Learning (RFCL) aims to continually learn new knowledge while preventing forgetting of the old knowledge, without storing any old samples and prototypes. The latest methods leverage large-scale pre-trained mode
Externí odkaz:
http://arxiv.org/abs/2407.10281