Abstract: In this paper, we propose an alignment network with iterative optimization for weakly supervised continuous sign language recognition. Our framework consists of two modules: a 3D ...
Abstract: Traditional deep learning reconstruction (DLR) methods have been sparsely applied in practical low-dose computed tomography (LDCT) imaging, as they heavily rely on the similarity between the ...
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