Task-Aware Compressed Sensing with Generative Adversarial Networks

In recent years, neural network approaches have been widely adopted for machine learning tasks, with applications in computer vision. More recently, unsupervised generative models based on neural networks have been successfully applied to model data distributions via low-dimensional latent spaces... (read more)

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Methods used in the Paper


METHOD TYPE
Convolution
Convolutions
GAN
Generative Models