REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object
Detection on FPGAs

REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs

29 September 2019

Caiwen Ding

Papers citing "REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs"

4 / 4 papers shown

Title
Teachers Do More Than Teach: Compressing Image-to-Image Models Qing Jin Jian Ren Oliver J. Woodford Jiazhuo Wang Geng Yuan Yanzhi Wang Sergey Tulyakov 39 54 0 05 Mar 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 25 59 0 03 Sep 2020
Defending against Backdoor Attack on Deep Neural Networks Kaidi Xu Sijia Liu Pin-Yu Chen Pu Zhao X. Lin Xue Lin AAML 21 47 0 26 Feb 2020
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators Zhanhong Tan Jiebo Song Xiaolong Ma S. Tan Hongyang Chen ... Yifu Wu Shaokai Ye Yanzhi Wang Dehui Li Kaisheng Ma 38 24 0 11 Feb 2020