CNN quantization for anatomical landmarks classification from upper gastrointestinal endoscopic images on Edge Devices

Author:

Le Minh Quan1,Nguyen Quang Tung2,Dao Viet Hang3,Tran Thanh-Hai1

Affiliation:

1. HUST,School of Electrical and Electronic Engineering,Hanoi,Vietnam

2. Jsc. for Telecom and Informatic,Hanoi,Vietnam

3. Institute of Gastroenterology and Hepatology,Hanoi,Vietnam

Funder

Ministry of Science and Technology

Publisher

IEEE

Reference19 articles.

1. Quantization and training of neural networks for efficient integer-arithmetic-only inference;jacob;CoRR,2017

2. Integer quantization for deep learning inference: Principles and empirical evaluation;wu;CoRR,2020

3. A white paper on neural network quantization;nagel;CoRR,2021

4. Quantized Convolutional Neural Networks for Mobile Devices

5. Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks

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3. Gastrointestinal Insights Redefined: An Integrated Hybrid Model Fusing Vision Transformer and Transfer Learning;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

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