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Found 3 papers, 1 papers with code
Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator
Therefore, this work proposes a novel multi-fidelity learning method based on the Fourier Neural Operator by jointing abundant low-fidelity data and limited high-fidelity data under transfer learning paradigm.
Attention Model Enhanced Network for Classification of Breast Cancer Image
In this study, we propose a novel method named Attention Model Enhanced Network (AMEN), which is formulated in a multi-branch fashion with pixel-wised attention model and classification submodular.
Learning Binary Semantic Embedding for Histology Image Classification and Retrieval
With the development of medical imaging technology and machine learning, computer-assisted diagnosis which can provide impressive reference to pathologists, attracts extensive research interests.
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