3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation

5 Apr 2019Magdalini PaschaliStefano GasperiniAbhijit Guha RoyMichael Y. -S. FangNassir Navab

Model architectures have been dramatically increasing in size, improving performance at the cost of resource requirements. In this paper we propose 3DQ, a ternary quantization method, applied for the first time to 3D Fully Convolutional Neural Networks (F-CNNs), enabling 16x model compression while maintaining performance on par with full precision models... (read more)

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