Zobrazeno 1 - 10
of 2 878
pro vyhledávání: '"Wang, Zhiyu"'
The Agriculture-Vision Challenge at CVPR 2024 aims at leveraging semantic segmentation models to produce pixel level semantic segmentation labels within regions of interest for multi-modality satellite images. It is one of the most famous and competi
Externí odkaz:
http://arxiv.org/abs/2406.12271
The spread of a graph $G$ is the difference between the largest and smallest eigenvalue of the adjacency matrix of $G$. In this paper, we consider the family of graphs which contain no $K_{s,t}$-minor. We show that for any $t\geq s \geq 2$, there is
Externí odkaz:
http://arxiv.org/abs/2404.18969
For integers $k>\ell\ge0$, a graph $G$ is $(k,\ell)$-stable if $\alpha(G-S)\geq \alpha(G)-\ell$ for every $S\subseteq V(G)$ with $|S|=k$. A recent result of Dong and Wu [SIAM J. Discrete Math., 36 (2022) 229--240] shows that every $(k,\ell)$-stable g
Externí odkaz:
http://arxiv.org/abs/2404.01639
Autor:
Niu, Ruirui, Li, Zhuoxian, Han, Xiangyan, Liu, Qianling, Qu, Zhuangzhuang, Wang, Zhiyu, Han, Chunrui, Watanabe, Kenji, Taniguchi, Takashi, Liu, Kaihui, Mao, Jinhai, Shi, Wu, Peng, Bo, Han, Zheng Vitto, Gan, Zizhao, Lu, Jianming
Interfacial ferroelectricity emerges in heterostructures consisting of nonpolar van der Waals (vdW) layers, greatly expanding the scope of two dimensional ferroelectrics. In particular, the unconventional moire ferroelectricity observed in bilayer gr
Externí odkaz:
http://arxiv.org/abs/2403.17326
In this paper, we show that all simple outerplanar graphs $G$ with minimum degree at least $2$ and positive Lin-Lu-Yau Ricci curvature on every edge have maximum degree at most $9$. Furthermore, if $G$ is maximally outerplanar, then $G$ has at most $
Externí odkaz:
http://arxiv.org/abs/2403.04110
In this paper, we show that the oriented diameter of any $n$-vertex $2$-connected near triangulation is at most $\lceil{\frac{n}{2}}\rceil$ (except for seven small exceptions), and the upper bound is tight. This extends a result of Wang et.al. on the
Externí odkaz:
http://arxiv.org/abs/2312.03258
Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency requirements of ever-increasing number of IoT applications and has become the mainstream computing paradigm behind IoT applications. However, because large number of I
Externí odkaz:
http://arxiv.org/abs/2309.07407
Autor:
Yu, Bruce X. B., Chang, Jianlong, Wang, Haixin, Liu, Lingbo, Wang, Shijie, Wang, Zhiyu, Lin, Junfan, Xie, Lingxi, Li, Haojie, Lin, Zhouchen, Tian, Qi, Chen, Chang Wen
Publikováno v:
ACM Computing Surveys, April 2024
Fine-tuning visual models has been widely shown promising performance on many downstream visual tasks. With the surprising development of pre-trained visual foundation models, visual tuning jumped out of the standard modus operandi that fine-tunes th
Externí odkaz:
http://arxiv.org/abs/2305.06061
Autor:
Wang, Hao, Wang, Zhiyu, Niu, Yunlong, Liu, Zhaoran, Li, Haozhe, Liao, Yilin, Huang, Yuxin, Liu, Xinggao
An accurate and explainable automatic monitoring system is critical for the safety of high efficiency energy conversion plants that operate under extreme working condition. Nonetheless, currently available data-driven monitoring systems often fall sh
Externí odkaz:
http://arxiv.org/abs/2302.10426
Autor:
Luo, Gen, Huang, Minglang, Zhou, Yiyi, Sun, Xiaoshuai, Jiang, Guannan, Wang, Zhiyu, Ji, Rongrong
Parameter-efficient transfer learning (PETL) is an emerging research spot aimed at inexpensively adapting large-scale pre-trained models to downstream tasks. Recent advances have achieved great success in saving storage costs for various pre-trained
Externí odkaz:
http://arxiv.org/abs/2302.08106