Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers
Author:
Affiliation:
1. Huazhong University of Science and Technology,Wuhan National Laboratory for Optoelectronics,Wuhan,China
2. Ping An Technology (Shenzhen) Co., Ltd.,Shenzhen,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10546498/10546499/10546541.pdf?arnumber=10546541
Reference20 articles.
1. BMPQ: Bit-Gradient Sensitivity-Driven Mixed-Precision Quantization of DNNs from Scratch
2. HAQ: Hardware-Aware Automated Quantization With Mixed Precision
3. Hawq-v3: Dyadic neural network quantization;Yao,2021
4. Memory-driven mixed low precision quantization for enabling deep network inference on micro-controllers;Rusci,2020
5. Adaptive Layerwise Quantization for Deep Neural Network Compression
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