Work

Dynamic Quantization and Pruning for Efficient CNN-Based Road Sign Recognition on FPGA

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Circuits and Systems proceedings

DOI: 10.1109/iscas56072.2025.11043616

Authors: Chiang Liang Kok, Bofan Zhao, Jovan Heng, Tee Hui Teo

Institutions: University of Newcastle Australia, Singapore University of Technology and Design

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4411726225

FWCI: 4.709

Cites: 11

Cited by: 6

Related to: 10