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3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume
Therefore, designing an elegant and efficient vision transformer learner for dense prediction in medical volume is promising and challenging.
Disentangling semantic features of macromolecules in Cryo-Electron Tomography
Cryo-electron tomography (Cryo-ET) is a 3D imaging technique that enables the systemic study of shape, abundance, and distribution of macromolecular structures in single cells in near-atomic resolution.
Experimental Analysis of Legendre Decomposition in Machine Learning
In this technical report, we analyze Legendre decomposition for non-negative tensor in theory and application.
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