Zobrazeno 1 - 10
of 10 556
pro vyhledávání: '"ZHANG, Da"'
Autor:
Zhang, Da
A significant portion of the memory in servers today is often unused. Our large-scale study of HPC systems finds that more than half of the total memory in active nodes running user jobs are unused for 88% of the time. Google and Azure Cloud studies
Externí odkaz:
http://hdl.handle.net/10919/115570
Open-vocabulary segmentation aims to identify and segment specific regions and objects based on text-based descriptions. A common solution is to leverage powerful vision-language models (VLMs), such as CLIP, to bridge the gap between vision and text
Externí odkaz:
http://arxiv.org/abs/2501.00877
Autor:
Feng, Pei-Yi, An, Zheng-Hua, Li, Yu-Hui, Le, Qi, Zhang, Da-Li, Li, Xin-Qiao, Xiong, Shao-Lin, Liu, Cong-Zhan, Liu, Wei-Bin, Wang, Jian-Li, Deng, Bing-Lin, Xu, He, Lu, Hong
The Gamma-Ray Transient Monitor (GTM) is an all-sky monitor onboard the Distant Retrograde Orbit-A (DRO-A) satellite, with the scientific objective of detecting gamma-ray bursts in the energy range of 20 keV to 1 MeV. The GTM is equipped with five Ga
Externí odkaz:
http://arxiv.org/abs/2411.18988
A reduction from the self-dual Yang-Mills (SDYM) equation to the unreduced Fokas-Lenells (FL) system is described in this paper. It has been known that the SDYM equation can be formulated from the Cauchy matrix schemes of the matrix Kadomtsev-Petvias
Externí odkaz:
http://arxiv.org/abs/2411.10807
In this paper the classical and nonlocal semi-discrete nonlinear Schr\"{o}dinger (sdNLS) equations with nonzero backgrounds are solved by means of the bilinearization-reduction approach. In the first step of this approach, the unreduced sdNLS system
Externí odkaz:
http://arxiv.org/abs/2409.01063
Text has become the predominant form of communication on social media, embedding a wealth of emotional nuances. Consequently, the extraction of emotional information from text is of paramount importance. Despite previous research making some progress
Externí odkaz:
http://arxiv.org/abs/2408.07891
Multimodal semantic segmentation shows significant potential for enhancing segmentation accuracy in complex scenes. However, current methods often incorporate specialized feature fusion modules tailored to specific modalities, thereby restricting inp
Externí odkaz:
http://arxiv.org/abs/2408.01343
Autor:
Wan, Qian, Zhang, Da-Xin
A well-motivated cosmological hybrid inflation scenario based on no-scale SUGRA is considered. It is demonstrated that an extra suppressed $R$-symmetry breaking term $S^n$ with $n\geq 4$ needs to be included in order to realize successful inflation.
Externí odkaz:
http://arxiv.org/abs/2407.05702
Autor:
Lin, Fake, Zhao, Ziwei, Zhu, Xi, Zhang, Da, Shen, Shitian, Li, Xueying, Xu, Tong, Zhang, Suojuan, Chen, Enhong
Last year has witnessed the re-flourishment of tag-aware recommender systems supported by the LLM-enriched tags. Unfortunately, though large efforts have been made, current solutions may fail to describe the diversity and uncertainty inherent in user
Externí odkaz:
http://arxiv.org/abs/2406.12020
Multimodal semantic segmentation is a pivotal component of computer vision and typically surpasses unimodal methods by utilizing rich information set from various sources.Current models frequently adopt modality-specific frameworks that inherently bi
Externí odkaz:
http://arxiv.org/abs/2405.15365