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Found 3 papers, 1 papers with code
Network Deconvolution
Convolution is a central operation in Convolutional Neural Networks (CNNs), which applies a kernel to overlapping regions shifted across the image.
Piecewise-linear maps with heterogeneous chaos
It will give more intuition as to how complex even simple systems can be.
Dynamical Systems Chaotic Dynamics
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data
In this work we present a lightweight, unsupervised learning pipeline for \textit{dense} depth, optical flow and egomotion estimation from sparse event output of the Dynamic Vision Sensor (DVS).
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