Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices

21 June 2018

Papers citing "Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices"

6 / 6 papers shown

Title
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices Alexander Montgomerie-Corcoran Petros Toupas Zhewen Yu C. Bouganis 26 9 0 04 Sep 2023
Tackling Variabilities in Autonomous Driving Yuqiong Qi Yang Hu Haibin Wu Shen Li Haiyu Mao Xiaochun Ye Dongrui Fan Ninghui Sun 13 1 0 21 Apr 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 130 673 0 24 Jan 2021
Layer-specific Optimization for Mixed Data Flow with Mixed Precision in FPGA Design for CNN-based Object Detectors Duy-Thanh Nguyen Hyun Kim Hyuk-Jae Lee MQ 17 59 0 03 Sep 2020
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs Zhen Dong Dequan Wang Qijing Huang Yizhao Gao Yaohui Cai Tian Li Bichen Wu Kurt Keutzer J. Wawrzynek ObjD 31 1 0 12 Jun 2020
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Leyuan Wang Zhi Chen Yizhi Liu Yao Wang Lianmin Zheng Mu Li Yida Wang 23 30 0 03 Jul 2019