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In the feature mining and feature fusion stage, we construct a multi-directional integrated convolution (MDIC). ... To solve the above problems, in this paper, we propose a novel end-to-end semantic segmentation algorithm, DT-Net, and use two new convolution strategies to better achieve end-to-end semantic segmentation ... ACKNOWLEDGMENT The authors wish to thank A, B, C. This work was supported in part by a grant from XYZ. ...arXiv:2009.12569v1 fatcat:lc57eytvvne3zhjoh6wca7jqt4
Learning is based on making predictions about what the senses will report at 100 msec (alpha frequency) intervals, and adapting synaptic weights to improve prediction accuracy. ... We present a comprehensive framework spanning biological, computational, and cognitive levels, with a clear theoretical continuity between levels, providing a coherent answer directly supported by extensive ... , that only sends changes (deltas) in activation values -typically only a few percent of neurons send on any given cycle. net += dt.integ * dt.net dt * (net raw -net) * time integration of net input, using ...arXiv:1709.04654v1 fatcat:yfwcuiyjj5ggpcro7iblvt3zpi