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.  ... 

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  ...