Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Chen Sihong"'
Few-shot class-incremental learning (FSCIL) aims to continually fit new classes with limited training data, while maintaining the performance of previously learned classes. The main challenges are overfitting the rare new training samples and forgett
Externí odkaz:
http://arxiv.org/abs/2401.07208
Graph neural networks have emerged as a powerful tool for graph representation learning, but their performance heavily relies on abundant task-specific supervision. To reduce labeling requirement, the "pre-train, prompt" paradigms have become increas
Externí odkaz:
http://arxiv.org/abs/2311.15317
The active control of electromagnetically induced transparency (EIT) metamaterials (MM) has the potential to revolutionize communication networks without relying on quantum technology. However, current reconfigurable systems offer limited flexibility
Externí odkaz:
http://arxiv.org/abs/2306.09246
Autor:
Chen, Sihong, Pan, Taisong, Mou, Zhengcheng, Du, Mingde, Wang, Tianxiang, Wang, Bing-Zhong, Lin, and Yuan
The sensitivity to deformation plays a key role in determining the applicability of stretchable metamaterials (MMs) to be used for conformal integration or mechanical reconfiguration. Typically, different unit designs are required to achieve the desi
Externí odkaz:
http://arxiv.org/abs/2306.08062
Autor:
Zhao, Zhe, Li, Yudong, Hou, Cheng, Zhao, Jing, Tian, Rong, Liu, Weijie, Chen, Yiren, Sun, Ningyuan, Liu, Haoyan, Mao, Weiquan, Guo, Han, Guo, Weigang, Wu, Taiqiang, Zhu, Tao, Shi, Wenhang, Chen, Chen, Huang, Shan, Chen, Sihong, Liu, Liqun, Li, Feifei, Chen, Xiaoshuai, Sun, Xingwu, Kang, Zhanhui, Du, Xiaoyong, Shen, Linlin, Yan, Kimmo
Recently, the success of pre-training in text domain has been fully extended to vision, audio, and cross-modal scenarios. The proposed pre-training models of different modalities are showing a rising trend of homogeneity in their model structures, wh
Externí odkaz:
http://arxiv.org/abs/2212.06385
Autor:
Liu, Shuo, Quan, Weize, Zhou, Ming, Chen, Sihong, Kang, Jian, Zhao, Zhe, Chen, Chen, Yan, Dong-Ming
Videos contain multi-modal content, and exploring multi-level cross-modal interactions with natural language queries can provide great prominence to text-video retrieval task (TVR). However, new trending methods applying large-scale pre-trained model
Externí odkaz:
http://arxiv.org/abs/2208.07664
With the increase in the number of image data and the lack of corresponding labels, weakly supervised learning has drawn a lot of attention recently in computer vision tasks, especially in the fine-grained semantic segmentation problem. To alleviate
Externí odkaz:
http://arxiv.org/abs/2110.03982
Autor:
Antonelli, Michela, Reinke, Annika, Bakas, Spyridon, Farahani, Keyvan, AnnetteKopp-Schneider, Landman, Bennett A., Litjens, Geert, Menze, Bjoern, Ronneberger, Olaf, Summers, Ronald M., van Ginneken, Bram, Bilello, Michel, Bilic, Patrick, Christ, Patrick F., Do, Richard K. G., Gollub, Marc J., Heckers, Stephan H., Huisman, Henkjan, Jarnagin, William R., McHugo, Maureen K., Napel, Sandy, Pernicka, Jennifer S. Goli, Rhode, Kawal, Tobon-Gomez, Catalina, Vorontsov, Eugene, Meakin, James A., Ourselin, Sebastien, Wiesenfarth, Manuel, Arbelaez, Pablo, Bae, Byeonguk, Chen, Sihong, Daza, Laura, Feng, Jianjiang, He, Baochun, Isensee, Fabian, Ji, Yuanfeng, Jia, Fucang, Kim, Namkug, Kim, Ildoo, Merhof, Dorit, Pai, Akshay, Park, Beomhee, Perslev, Mathias, Rezaiifar, Ramin, Rippel, Oliver, Sarasua, Ignacio, Shen, Wei, Son, Jaemin, Wachinger, Christian, Wang, Liansheng, Wang, Yan, Xia, Yingda, Xu, Daguang, Xu, Zhanwei, Zheng, Yefeng, Simpson, Amber L., Maier-Hein, Lena, Cardoso, M. Jorge
International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely investigated medical image processing task, but the various segmentation
Externí odkaz:
http://arxiv.org/abs/2106.05735
It is necessary to improve the performance of some special classes or to particularly protect them from attacks in adversarial learning. This paper proposes a framework combining cost-sensitive classification and adversarial learning together to trai
Externí odkaz:
http://arxiv.org/abs/2101.12372
In this paper, we propose a defence strategy to improve adversarial robustness by incorporating hidden layer representation. The key of this defence strategy aims to compress or filter input information including adversarial perturbation. And this de
Externí odkaz:
http://arxiv.org/abs/2011.14045