Zobrazeno 1 - 10
of 18 463
pro vyhledávání: '"WANG, Mei"'
The study of oracle characters plays an important role in Chinese archaeology and philology. However, the difficulty of collecting and annotating real-world scanned oracle characters hinders the development of oracle character recognition. In this pa
Externí odkaz:
http://arxiv.org/abs/2409.15893
Autor:
Sun, Jianfei, Wu, Cong, Mumtaz, Shahid, Tao, Junyi, Cao, Mingsheng, Wang, Mei, Frascolla, Valerio
In the rapidly evolving domain of satellite communications, integrating advanced machine learning techniques, particularly split learning, is crucial for enhancing data processing and model training efficiency across satellites, space stations, and g
Externí odkaz:
http://arxiv.org/abs/2409.08538
Autor:
Van Essendelft, Dirk, Almolyki, Hayl, Shi, Wei, Jordan, Terry, Wang, Mei-Yu, Saidi, Wissam A.
The versatility and wide-ranging applicability of the Ising model, originally introduced to study phase transitions in magnetic materials, have made it a cornerstone in statistical physics and a valuable tool for evaluating the performance of emergin
Externí odkaz:
http://arxiv.org/abs/2404.16990
Autor:
Qin, Lixiong, Wang, Mei, Liu, Xuannan, Zhang, Yuhang, Deng, Wei, Song, Xiaoshuai, Xu, Weiran, Deng, Weihong
With the comprehensive research conducted on various face analysis tasks, there is a growing interest among researchers to develop a unified approach to face perception. Existing methods mainly discuss unified representation and training, which lack
Externí odkaz:
http://arxiv.org/abs/2403.09500
Autor:
Chen, Zijian, Wang, Mei, Deng, Weihong, Shi, Hongzhi, Wen, Dongchao, Zhang, Yingjie, Cui, Xingchen, Zhao, Jian
2D face recognition encounters challenges in unconstrained environments due to varying illumination, occlusion, and pose. Recent studies focus on RGB-D face recognition to improve robustness by incorporating depth information. However, collecting suf
Externí odkaz:
http://arxiv.org/abs/2403.06529
We investigate the possibility of detecting the leptophilic gauge boson $Z_x$ predicted by the $U(1)_{L_e-L_\mu}$ model via the processes $e^+e^-\rightarrow\ell^+\ell^-Z_x(Z_x\rightarrow \ell^+\ell^-)$ and $e^+e^-\rightarrow \ell^+\ell^-Z_x(Z_x\right
Externí odkaz:
http://arxiv.org/abs/2402.00619
Deep neural networks (DNNs) are often prone to learn the spurious correlations between target classes and bias attributes, like gender and race, inherent in a major portion of training data (bias-aligned samples), thus showing unfair behavior and ari
Externí odkaz:
http://arxiv.org/abs/2401.02150
Autor:
Xu, Ruizhuo, Wang, Ke, Deng, Chao, Wang, Mei, Chen, Xi, Huang, Wenhui, Feng, Junlan, Deng, Weihong
With the increasing availability of consumer depth sensors, 3D face recognition (FR) has attracted more and more attention. However, the data acquired by these sensors are often coarse and noisy, making them impractical to use directly. In this paper
Externí odkaz:
http://arxiv.org/abs/2401.00719
Self-supervised pre-training paradigms have been extensively explored in the field of skeleton-based action recognition. In particular, methods based on masked prediction have pushed the performance of pre-training to a new height. However, these met
Externí odkaz:
http://arxiv.org/abs/2401.00921
Autor:
Wang, Mei-Hsin, Che, Hui-Chung
Publikováno v:
Journal of Intellectual Capital, 2024, Vol. 25, Issue 7, pp. 129-150.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JIC-12-2023-0286
