Naturalizing Neuromorphic Vision Event Streams Using GANs

14 Feb 2021 Dennis Robey Wesley Thio Herbert Iu Jason Eshraghian

Dynamic vision sensors are able to operate at high temporal resolutions within resource constrained environments, though at the expense of capturing static content. The sparse nature of event streams enables efficient downstream processing tasks as they are suited for power-efficient spiking neural networks... (read more)

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Methods used in the Paper


METHOD TYPE
Sigmoid Activation
Activation Functions
Dropout
Regularization
PatchGAN
Discriminators
Convolution
Convolutions
Leaky ReLU
Activation Functions
ReLU
Activation Functions
Batch Normalization
Normalization
Concatenated Skip Connection
Skip Connections
Pix2Pix
Generative Models