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MicroT: Low-Energy and Adaptive Models for MCUs

MicroT: Low-Energy and Adaptive Models for MCUs

12 March 2024
Yushan Huang
Ranya Aloufi
Xavier F. Cadet
Yuchen Zhao
Payam Barnaghi
Hamed Haddadi
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Papers citing "MicroT: Low-Energy and Adaptive Models for MCUs"

5 / 5 papers shown
Title
MulT: An End-to-End Multitask Learning Transformer
MulT: An End-to-End Multitask Learning Transformer
Deblina Bhattacharjee
Tong Zhang
Sabine Süsstrunk
Mathieu Salzmann
ViT
34
62
0
17 May 2022
MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
Xingyu Chen
Yufeng Liu
Yajiao Dong
Xiong Zhang
Chongyang Ma
Yanmin Xiong
Yuan Zhang
Xiaoyan Guo
3DH
48
83
0
06 Dec 2021
Mobile-Former: Bridging MobileNet and Transformer
Mobile-Former: Bridging MobileNet and Transformer
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Xiaoyi Dong
Lu Yuan
Zicheng Liu
ViT
172
475
0
12 Aug 2021
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
178
1,027
0
06 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
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