Resource-efficient Face Detector Using 1.5-bit Frame-to-frame Delta Quantization for Image Based Always-on Wake-up Application-Reference-Cited by-同舟云学术

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Resource-efficient Face Detector Using 1.5-bit Frame-to-frame Delta Quantization for Image Based Always-on Wake-up Application

Published:2023-05-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Pu Ning¹,Liu Kaiji²,Li Heyue¹,Wu Nan¹,Li Yaoyu¹,Jia Wen³,Wang Zhihua³,Jiang Hanjun¹

Affiliation:

1. School of Integrated Circuits, Tsinghua University,Beijing,China,10084

2. Tsinghua University,Department of Electronic Engineering,Beijing,China,10084

3. Research Institute of Tsinghua University in Shenzhen,Guangdong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181241/10181318/10182186.pdf?arnumber=10182186

Reference15 articles.

1. 15.2 A 2.75-to-75.9TOPS/W Computing-in-Memory NN Processor Supporting Set-Associate Block-Wise Zero Skipping and Ping-Pong CIM with Simultaneous Computation and Weight Updating

2. 7.4 GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation

3. A 640 $\times$ 640 Fully Dynamic CMOS Image Sensor for Always-On Operation

4. Adam: A method for stochastic optimization;kingma;ArXiv Preprint,2014

5. A 2PJ/Pixel/Direction MIMO Processing Based CMOS Image Sensor for Omnidirectional Local Binary Pattern Extraction and Edge Detection

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