IEEE

Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networks

Abstract: Image processing is one of the most promising applications for quantum machine learning. Quanvolutional neural networks with nontrainable parameters are the preferred solution to run on ...
IEEE

Research on Discrete Quantization Encoding of Logging Interpretation Data

Abstract: This paper draws on the concepts of image discretization coding to study the discretization encoding of logging data. Improvements are made to four representative coding methods from the ...
GitHub

A flexible pipeline for video/audio acquisition, encoding, decoding, and output using FFmpeg on ROS 2

ffmpeg_pipeline is a collection of ROS 2 packages designed to efficiently and flexibly integrate the powerful and stable multimedia capabilities of FFmpeg into robotic systems. Using ffmpeg_pipeline, ...
GitHub

Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices

@inproceedings{chen2024mixed, title={Mixed-precision quantization for federated learning on resource-constrained heterogeneous devices}, author={Chen, Huancheng and Vikalo, Haris}, ...