Web: http://arxiv.org/abs/2209.08667

Sept. 20, 2022, 1:13 a.m. | Seyedalireza Khoshsirat, Chandra Kambhamettu

cs.CV updates on arXiv.org arxiv.org

The idea of neural Ordinary Differential Equations (ODE) is to approximate
the derivative of a function (data model) instead of the function itself. In
residual networks, instead of having a discrete sequence of hidden layers, the
derivative of the continuous dynamics of hidden state can be parameterized by
an ODE. It has been shown that this type of neural network is able to produce
the same results as an equivalent residual network for image classification. In
this paper, we design …

arxiv ordinary segmentation semantic

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