Zobrazeno 1 - 10
of 1 761
pro vyhledávání: '"Pan Bin"'
Hyperspectral imagery (HSI) classification may suffer the challenge of hyperspectral-monospectra, where different classes present similar spectra. Joint spatial-spectral feature extraction is a popular solution for the problem, but this strategy tend
Externí odkaz:
http://arxiv.org/abs/2407.04100
Domain generalization (DG) aims to train a model from limited source domains, allowing it to generalize to unknown target domains. Typically, DG models only employ large-scale pre-trained models during the initialization of fine-tuning. However, larg
Externí odkaz:
http://arxiv.org/abs/2406.05628
Domain generalization aims to develop a model that can perform well on unseen target domains by learning from multiple source domains. However, recent-proposed domain generalization models usually rely on domain labels, which may not be available in
Externí odkaz:
http://arxiv.org/abs/2406.05616
Autor:
Shi, Zhenning, Zheng, Haoshuai, Xu, Chen, Dong, Changsheng, Pan, Bin, Xie, Xueshuo, He, Along, Li, Tao, Fu, Huazhu
Recently, research on denoising diffusion models has expanded its application to the field of image restoration. Traditional diffusion-based image restoration methods utilize degraded images as conditional input to effectively guide the reverse gener
Externí odkaz:
http://arxiv.org/abs/2311.14900
Domain invariant learning aims to learn models that extract invariant features over various training domains, resulting in better generalization to unseen target domains. Recently, Bayesian Neural Networks have achieved promising results in domain in
Externí odkaz:
http://arxiv.org/abs/2310.16277
Bayesian Neural Networks (BNNs) have become one of the promising approaches for uncertainty estimation due to the solid theorical foundations. However, the performance of BNNs is affected by the ability of catching uncertainty. Instead of only seekin
Externí odkaz:
http://arxiv.org/abs/2310.13027
Autor:
Chen, Siyu1,2,3,4,5 (AUTHOR), Pan, Bin1,2,3,4,5 (AUTHOR), Lou, Xiaowei1,2,3,4,5 (AUTHOR), Chen, Jianghua1,2,3,4,5 (AUTHOR), Zhang, Ping1,2,3,4,5 (AUTHOR) 1194076@zju.edu.cn
Publikováno v:
Renal Failure. Dec2024, Vol. 46 Issue 2, p1-10. 10p.
Autor:
Yang, Yawen, Yin, Xia, Yang, Yongfei, Tian, Hua, Liu, Kai, Zhu, Weiyao, Iglauer, Stefan, Pan, Bin
Publikováno v:
In Fuel 15 January 2025 380
Publikováno v:
In Information Sciences January 2025 689
Autor:
Zhou, Yiyang a, Tang, Ligen b, c, Song, Zhiyong a, Pan, Bin a, Yue, Ming a, Liu, Jinzi d, Song, Hongqing a, ⁎
Publikováno v:
In Energy 30 December 2024 313