Energy-aware Retinaface: A Power Efficient Edge-Computing SOC for Face Detector in 40nm

2021 IEEE 14th International Conference on ASIC (ASICON)(2021)

引用 1|浏览0
暂无评分
摘要
In this work, an energy-awaring face detector is implemented in 40nm technology SoC. Based on the art-of-state face detector, a highest accuracy retinaface detector (91.4% average precision) on the WIDER FACE dataset is quantized in the int8 domain. For this neural network, an 8-bit CNN accelerator in a hybrid SOC architecture is designed to achieve an end-to-end face detector. The entire detector...
更多
查看译文
关键词
Quantization (signal),Image edge detection,Neural networks,Process control,Detectors,Streaming media,Real-time systems
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要