Zobrazeno 1 - 10
of 2 242
pro vyhledávání: '"Zhang, Yuhan"'
In this paper, we propose a novel approach to enhance medical image segmentation during test time. Instead of employing hand-crafted transforms or functions on the input test image to create multiple views for test-time augmentation, we advocate for
Externí odkaz:
http://arxiv.org/abs/2406.17608
Autor:
Fu, Ying, Li, Yu, You, Shaodi, Shi, Boxin, Chen, Linwei, Zou, Yunhao, Wang, Zichun, Li, Yichen, Han, Yuze, Zhang, Yingkai, Wang, Jianan, Liu, Qinglin, Yu, Wei, Lv, Xiaoqian, Li, Jianing, Zhang, Shengping, Ji, Xiangyang, Chen, Yuanpei, Zhang, Yuhan, Peng, Weihang, Zhang, Liwen, Xu, Zhe, Gou, Dingyong, Li, Cong, Xu, Senyan, Zhang, Yunkang, Jiang, Siyuan, Lu, Xiaoqiang, Jiao, Licheng, Liu, Fang, Liu, Xu, Li, Lingling, Ma, Wenping, Yang, Shuyuan, Xie, Haiyang, Zhao, Jian, Huang, Shihua, Cheng, Peng, Shen, Xi, Wang, Zheng, An, Shuai, Zhu, Caizhi, Li, Xuelong, Zhang, Tao, Li, Liang, Liu, Yu, Yan, Chenggang, Zhang, Gengchen, Jiang, Linyan, Song, Bingyi, An, Zhuoyu, Lei, Haibo, Luo, Qing, Song, Jie, Liu, Yuan, Li, Qihang, Zhang, Haoyuan, Wang, Lingfeng, Chen, Wei, Luo, Aling, Li, Cheng, Cao, Jun, Chen, Shu, Dou, Zifei, Liu, Xinyu, Zhang, Jing, Zhang, Kexin, Yang, Yuting, Gou, Xuejian, Wang, Qinliang, Liu, Yang, Zhao, Shizhan, Zhang, Yanzhao, Yan, Libo, Guo, Yuwei, Li, Guoxin, Gao, Qiong, Che, Chenyue, Sun, Long, Chen, Xiang, Li, Hao, Pan, Jinshan, Xie, Chuanlong, Chen, Hongming, Li, Mingrui, Deng, Tianchen, Huang, Jingwei, Li, Yufeng, Wan, Fei, Xu, Bingxin, Cheng, Jian, Liu, Hongzhe, Xu, Cheng, Zou, Yuxiang, Pan, Weiguo, Dai, Songyin, Jia, Sen, Zhang, Junpei, Chen, Puhua
The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies. By leveraging the principles of physics to inform and enhance deep learning models, we can develop more robust and ac
Externí odkaz:
http://arxiv.org/abs/2406.10744
Autor:
Zhang, Ge, Qu, Scott, Liu, Jiaheng, Zhang, Chenchen, Lin, Chenghua, Yu, Chou Leuang, Pan, Danny, Cheng, Esther, Liu, Jie, Lin, Qunshu, Yuan, Raven, Zheng, Tuney, Pang, Wei, Du, Xinrun, Liang, Yiming, Ma, Yinghao, Li, Yizhi, Ma, Ziyang, Lin, Bill, Benetos, Emmanouil, Yang, Huan, Zhou, Junting, Ma, Kaijing, Liu, Minghao, Niu, Morry, Wang, Noah, Que, Quehry, Liu, Ruibo, Liu, Sine, Guo, Shawn, Gao, Soren, Zhou, Wangchunshu, Zhang, Xinyue, Zhou, Yizhi, Wang, Yubo, Bai, Yuelin, Zhang, Yuhan, Zhang, Yuxiang, Wang, Zenith, Yang, Zhenzhu, Zhao, Zijian, Zhang, Jiajun, Ouyang, Wanli, Huang, Wenhao, Chen, Wenhu
Large Language Models (LLMs) have made great strides in recent years to achieve unprecedented performance across different tasks. However, due to commercial interest, the most competitive models like GPT, Gemini, and Claude have been gated behind pro
Externí odkaz:
http://arxiv.org/abs/2405.19327
Autor:
Korosteleva, Maria, Kesdogan, Timur Levent, Kemper, Fabian, Wenninger, Stephan, Koller, Jasmin, Zhang, Yuhan, Botsch, Mario, Sorkine-Hornung, Olga
Recent research interest in the learning-based processing of garments, from virtual fitting to generation and reconstruction, stumbles on a scarcity of high-quality public data in the domain. We contribute to resolving this need by presenting the fir
Externí odkaz:
http://arxiv.org/abs/2405.17609
Autor:
Huang, Kun, Ma, Xiao, Zhang, Yuhan, Su, Na, Yuan, Songtao, Liu, Yong, Chen, Qiang, Fu, Huazhu
Optical coherence tomography (OCT) image analysis plays an important role in the field of ophthalmology. Current successful analysis models rely on available large datasets, which can be challenging to be obtained for certain tasks. The use of deep g
Externí odkaz:
http://arxiv.org/abs/2405.16516
The Spiking Neural Network (SNN), as one of the biologically inspired neural network infrastructures, has drawn increasing attention recently. It adopts binary spike activations to transmit information, thus the multiplications of activations and wei
Externí odkaz:
http://arxiv.org/abs/2312.06372
Autor:
Kong, Derong, Zhang, Yuhan
For $\beta>1$ let $S_\beta$ be the Sierpinski gasket generated by the iterated function system \[\left\{f_{\alpha_0}(x,y)=\Big(\frac{x}{\beta},\frac{y}{\beta}\Big), \quad f_{\alpha_1}(x,y)=\Big(\frac{x+1}{\beta}, \frac{y}{\beta}\Big), \quad f_{\alpha
Externí odkaz:
http://arxiv.org/abs/2311.13823
Language models (LMs) have been argued to overlap substantially with human beings in grammaticality judgment tasks. But when humans systematically make errors in language processing, should we expect LMs to behave like cognitive models of language an
Externí odkaz:
http://arxiv.org/abs/2311.01386
Recently, Spiking Neural Networks (SNNs), enjoying extreme energy efficiency, have drawn much research attention on 2D visual recognition and shown gradually increasing application potential. However, it still remains underexplored whether SNNs can b
Externí odkaz:
http://arxiv.org/abs/2310.06232
Autor:
Guo, Yufei, Zhang, Yuhan, Chen, Yuanpei, Peng, Weihang, Liu, Xiaode, Zhang, Liwen, Huang, Xuhui, Ma, Zhe
As one of the energy-efficient alternatives of conventional neural networks (CNNs), spiking neural networks (SNNs) have gained more and more interest recently. To train the deep models, some effective batch normalization (BN) techniques are proposed
Externí odkaz:
http://arxiv.org/abs/2308.08359