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Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities
  for UAVs

Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs

30 November 2021
Wamiq Raza
Anas Osman
F. Ferrini
F. D. De Natale
ArXivPDFHTML

Papers citing "Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs"

4 / 4 papers shown
Title
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA
  Implementation
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation
Odrika Iqbal
Victor Isaac Torres Muro
Sameeksha Katoch
A. Spanias
Suren Jayasuriya
13
12
0
17 Dec 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim
Andreas Biri
Zhongnan Qu
Lothar Thiele
38
30
0
21 Apr 2021
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
R. David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
...
Meghna Natraj
Shlomi Regev
Rocky Rhodes
Tiezhen Wang
Pete Warden
105
464
0
17 Oct 2020
Benchmarking TinyML Systems: Challenges and Direction
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
...
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
98
228
0
10 Mar 2020
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