Expectation Maximization Attention Networks for Semantic Segmentation
We formulate the attention mechanism into an expectation-maximization manner and iteratively estimate a much more compact set of bases upon which the attention maps are computed.
Jul 22, 2019
R^2 Net Recurrent and Recursive Network for Sparse View CT Artifacts Removal
We propose a novel neural network architecture to reduce streak artifacts generated in sparse-view 2D Cone Beam Computed To-mography (CBCT) image reconstruction.
Jun 19, 2019