Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Zhang, Wanqian"'
Autor:
Liu, Kaixin, Xiong, Huixin, Duan, Bingyu, Cheng, Zexuan, Zhou, Xinyu, Zhang, Wanqian, Zhang, Xiangyu
In the domain of cloud-based deep learning, the imperative for external computational resources coexists with acute privacy concerns, particularly identity leakage. To address this challenge, we introduce XNN and XNN-d, pioneering methodologies that
Externí odkaz:
http://arxiv.org/abs/2408.04974
Model inversion (MI) attack reconstructs the private training data of a target model given its output, posing a significant threat to deep learning models and data privacy. On one hand, most of existing MI methods focus on searching for latent codes
Externí odkaz:
http://arxiv.org/abs/2407.08127
With the development of diffusion-based customization methods like DreamBooth, individuals now have access to train the models that can generate their personalized images. Despite the convenience, malicious users have misused these techniques to crea
Externí odkaz:
http://arxiv.org/abs/2405.20584
Incremental learning for person re-identification (ReID) aims to develop models that can be trained with a continuous data stream, which is a more practical setting for real-world applications. However, the existing incremental ReID methods make two
Externí odkaz:
http://arxiv.org/abs/2210.08710
Data augmentation is a necessity to enhance data efficiency in deep learning. For vision-language pre-training, data is only augmented either for images or for text in previous works. In this paper, we present MixGen: a joint data augmentation for vi
Externí odkaz:
http://arxiv.org/abs/2206.08358
Real-world data often follows a long-tailed distribution, which makes the performance of existing classification algorithms degrade heavily. A key issue is that samples in tail categories fail to depict their intra-class diversity. Humans can imagine
Externí odkaz:
http://arxiv.org/abs/2112.07928
Akademický článek
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Autor:
Shi Xiaoli, Zhang Lu, Liu Yanfen, Wang Jinyu, Zhang Gui, Qi Haiping, Zhang Wanqian, Zhang Deyuan, Wang Jin
Publikováno v:
Nanotechnology Reviews, Vol 12, Iss 1, Pp 286-304 (2023)
Fe-based stents have been made a figure in biodegradable stents by their good mechanical capacity and biocompatibility, appropriate strength–ductility combination. Although the iron corrosion rate was not ideal, which had been optimized by iron all
Externí odkaz:
https://doaj.org/article/0addad48916f4f25a53586e3f7997269
Akademický článek
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Akademický článek
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