A 0.8 V Intelligent Vision Sensor With Tiny Convolutional Neural Network and Programmable Weights Using Mixed-Mode Processing-in-Sensor Technique for Image Classification-Reference-Cited by-同舟云学术

A 0.8 V Intelligent Vision Sensor With Tiny Convolutional Neural Network and Programmable Weights Using Mixed-Mode Processing-in-Sensor Technique for Image Classification

Published:2023-11 Issue:11 Volume:58 Page:3266-3274
ISSN:0018-9200
Container-title:IEEE Journal of Solid-State Circuits
language:
Short-container-title:IEEE J. Solid-State Circuits

Author:

Hsu Tzu-Hsiang¹^ORCID,Chen Guan-Cheng²^ORCID,Chen Yi-Ren³,Liu Ren-Shuo¹^ORCID,Lo Chung-Chuan⁴,Tang Kea-Tiong¹^ORCID,Chang Meng-Fan¹^ORCID,Hsieh Chih-Cheng¹^ORCID

Affiliation:

1. Mediatek Inc., Hsinchu, Taiwan

2. Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan

3. Phison Electronics Corporation, Taoyuan, Taiwan

4. Institute of Systems Neuroscience, National Tsing Hua University, Hsinchu, Taiwan

Funder

Qualcomm through the Taiwan University Research Collaboration Project

NOVATEK Fellowship;

Taiwan Semiconductor Research Institute

Ministry of Science and Technology (MOST), Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/4/10292770/10164007.pdf?arnumber=10164007

Reference17 articles.

1. An ULV PWM CMOS Imager With Adaptive-Multiple-Sampling Linear Response, HDR Imaging, and Energy Harvesting

2. A 0.8 V intelligent vision sensor with tiny convolutional neural network and programmable weights using mixed-mode processing-in-sensor technique for image classification;hsu;IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers,2022

3. An image filtering processor for face/object recognition using merged/mixed analog-digital architecture

4. PWM Digital Pixel Sensor Based on Asynchronous Self-Resetting Scheme

5. An ultra-low-power and mixed-mode event-driven face detection SoC for always-on mobile applications

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