no code implementations • 9 Nov 2021 • Boyuan Ma, Xiang Yin, Xiaojuan Ban, Haiyou Huang, Neng Zhang, Hao Wang, Weihua Xue
The core contributions are as follows: 1) the federated learning algorithm is introduced into the polycrystalline microstructure image segmentation task to make full use of different user data to carry out machine learning, break the data island and improve the model generalization ability under the condition of ensuring the privacy and security of user data; 2) A data sharing strategy based on style transfer is proposed.
1 code implementation • 5 Aug 2019 • Boyuan Ma, Xiaojuan Ban, Haiyou Huang, Yu Zhu
In this work, we propose a novel unsupervised deep learning model to address multi-focus image fusion problem.
1 code implementation • 22 May 2019 • Boyuan Ma, Chuni Liu, Xiaojuan Ban, Hao Wang, Weihua Xue, Haiyou Huang
In this work, we propose WPU-net that redesigns the architecture and weighted loss of U-Net, which forces the network to integrate information from adjacent slices and pays more attention to the topology in boundary detection task.
no code implementations • 12 May 2019 • Boyuan Ma, Xiaoyan Wei, Chuni Liu, Xiaojuan Ban, Haiyou Huang, Hao Wang, Weihua Xue, Stephen Wu, Mingfei Gao, Qing Shen, Adnan Omer Abuassba, Haokai Shen, Yanjing Su
Recent progress in material data mining has been driven by high-capacity models trained on large datasets.