Zobrazeno 1 - 10
of 457
pro vyhledávání: '"Guo, Jintao"'
Domain generalization (DG) aims to enhance the model robustness against domain shifts without accessing target domains. A prevalent category of methods for DG is data augmentation, which focuses on generating virtual samples to simulate domain shifts
Externí odkaz:
http://arxiv.org/abs/2403.11792
Domain generalization (DG) intends to train a model on multiple source domains to ensure that it can generalize well to an arbitrary unseen target domain. The acquisition of domain-invariant representations is pivotal for DG as they possess the abili
Externí odkaz:
http://arxiv.org/abs/2401.05752
Deep Neural Networks have exhibited considerable success in various visual tasks. However, when applied to unseen test datasets, state-of-the-art models often suffer performance degradation due to domain shifts. In this paper, we introduce a novel ap
Externí odkaz:
http://arxiv.org/abs/2308.10285
Domain generalization (DG) aims to learn a model that generalizes well to unseen target domains utilizing multiple source domains without re-training. Most existing DG works are based on convolutional neural networks (CNNs). However, the local operat
Externí odkaz:
http://arxiv.org/abs/2303.11674
Autor:
Yang, Bing, Shi, Donglin, Zhang, Yulu, Meng, Lin, Guo, Jintao, Wang, Shilun, Shen, Yao, Chen, Liang, Huang, Youju
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
Autor:
Guo, Jintao, He, Zixin, Zhang, Zhihao, Wang, Wurong, Xu, Jing, Chen, Zhuo, Liu, Tengshi, Guo, Liya
Publikováno v:
In Materials Today Communications August 2024 40
Publikováno v:
In Journal of Molecular Structure 15 January 2025 1320
Domain generalization (DG) aims to learn a generic model from multiple observed source domains that generalizes well to arbitrary unseen target domains without further training. The major challenge in DG is that the model inevitably faces a severe ov
Externí odkaz:
http://arxiv.org/abs/2112.03676
Publikováno v:
In Aquaculture 30 May 2024 586
Publikováno v:
In Aquaculture Reports April 2024 35