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Ernet Family: Hardware-Oriented Cnn Models For Computational Imaging Using Block-Based Inference
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Ernet Family: Hardware-Oriented Cnn Models For Computational Imaging Using Block-Based Inference
Convolutional neural networks (CNNs) demand huge DRAM bandwidth for computational imaging tasks, and block-based processing has recently been applied to greatly reduce the bandwidth. However, the induced additional computation for feature recomputing or t
Convolutional neural networks (CNNs) demand huge DRAM bandwidth for computational imaging tasks, and block-based processing has recently been applied to greatly reduce the bandwidth. However, the induced additional computation for feature recomputing or t
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