SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam-Reference-Cited by-同舟云学术

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SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Fu Yonggan¹,Zhang Yang²,Wang Yue¹,Lu Zhihan¹,Boominathan Vivek¹,Veeraraghavan Ashok¹,Lin Yingyan¹

Affiliation:

1. Rice University

2. MIT-IBM Watson AI Lab

Funder

PATH

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710228.pdf?arnumber=9710228

Reference47 articles.

1. FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

2. End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging

3. Lensless light-field imaging with Fresnel zone aperture: quasi-coherent coding

Cited by 2 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. EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design;IEEE Micro;2023-07

2. EyeCoD;Proceedings of the 49th Annual International Symposium on Computer Architecture;2022-06-11

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