Mixed-Precision Quantization of U-Net for Medical Image Segmentation

Author:

Guo Liming1,Fei Wen1,Dai Wenrui1,Li Chenglin1,Zou Junni1,Xiong Hongkai1

Affiliation:

1. Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference29 articles.

1. Pact: Parameterized clipping activation for quantized neural networks;choi;arXiv preprint arXiv 1805 06085,2018

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3. Adaptive Layerwise Quantization for Deep Neural Network Compression

4. Mixed precision quantization of convnets via differentiable neural architecture search;wu;arXiv preprint arXiv 1812 00287,2018

5. HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision

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1. A Scoping Review on Quantization Methods for Medical Imaging AI;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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