Improving the Efficiency of CMOS Image Sensors through In-Sensor Selective Attention-Reference-Cited by-同舟云学术

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Improving the Efficiency of CMOS Image Sensors through In-Sensor Selective Attention

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

Zhang Tianyi¹,Kasichainula Kishore¹,Jee Dong-Woo²,Yeo Injune¹,Zhuo Yaoxin³,Li Baoxin³,Seo Jae-sun¹,Cao Yu¹

Affiliation:

1. School of Electrical, Computer and Energy Enginnering, Arizona State University,Tempe,AZ,USA

2. Ajou University,Department of Electrical and Computer Engineering,Suwon,South Korea

3. School of Computing and Augmented Intelligence, Arizona State University,Tempe,AZ,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181241/10181318/10181835.pdf?arnumber=10181835

Reference10 articles.

1. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

2. BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

3. You Only Look Once: Unified, Real-Time Object Detection

4. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

5. Saliency Preservation in Low-Resolution Grayscale Images

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploiting 2.5D/3D Heterogeneous Integration for AI Computing;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22

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