A Biased Mixed-Precision Convolution Engine for Hardware-Efficient Computational Imaging CNN

Author:

Tu Hao-Jiun1,Ou Yu-Feng1,Chen Yong-Tai1,Huang Chao-Tsung1

Affiliation:

1. National Tsing Hua University,Department of Electrical Engineering,Hsinchu,Taiwan

Publisher

IEEE

Reference27 articles.

1. Accurate Image Super-Resolution Using Very Deep Convolutional Networks

2. Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

3. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

4. DepFiN: A 12nm, 3.8 TOPs depth-first CNN processor for high res. image processing;koen;2021 Symposium on VLSI Circuits,2021

5. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations;hubara;The Journal of Machine Learning Research,2017

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