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PhiNets: a scalable backbone for low-power AI at the edge

PhiNets: a scalable backbone for low-power AI at the edge

1 October 2021
Francesco Paissan
Alberto Ancilotto
Elisabetta Farella
ArXivPDFHTML

Papers citing "PhiNets: a scalable backbone for low-power AI at the edge"

11 / 11 papers shown
Title
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Xubin Wang
Zhiqing Tang
Jianxiong Guo
Tianhui Meng
Chenhao Wang
Tian-sheng Wang
Weijia Jia
42
0
0
08 Mar 2025
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
Xubin Wang
Weijia Jia
34
0
0
08 Jan 2025
DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units
DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units
Liam Boyle
Julian Moosmann
Nicolas Baumann
Seonyeong Heo
Michele Magno
ObjD
40
2
0
22 Oct 2024
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
Manuel Barusco
Francesco Borsatti
Davide Dalle Pezze
Francesco Paissan
Elisabetta Farella
Gian Antonio Susto
20
2
0
15 Oct 2024
Latent Distillation for Continual Object Detection at the Edge
Latent Distillation for Continual Object Detection at the Edge
Francesco Pasti
Marina Ceccon
Davide Dalle Pezze
Francesco Paissan
Elisabetta Farella
Gian Antonio Susto
Nicola Bellotto
30
4
0
03 Sep 2024
Federating Dynamic Models using Early-Exit Architectures for Automatic
  Speech Recognition on Heterogeneous Clients
Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients
Mohamed Nabih Ali
A. Brutti
Daniele Falavigna
27
0
0
27 May 2024
TinyML: Tools, Applications, Challenges, and Future Research Directions
TinyML: Tools, Applications, Challenges, and Future Research Directions
Rakhee Kallimani
K. Pai
Prasoon Raghuwanshi
S. Iyer
O. López
30
40
0
23 Mar 2023
Scaling strategies for on-device low-complexity source separation with
  Conv-Tasnet
Scaling strategies for on-device low-complexity source separation with Conv-Tasnet
Mohamed Nabih Ali
Francesco Paissan
Daniele Falavigna
A. Brutti
13
2
0
06 Mar 2023
Software Engineering Approaches for TinyML based IoT Embedded Vision: A
  Systematic Literature Review
Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review
Shashank Bangalore Lakshman
Nasir U. Eisty
11
12
0
19 Apr 2022
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
20,214
0
17 Apr 2017
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking with a Deep Association Metric
N. Wojke
Alex Bewley
Dietrich Paulus
VOT
217
3,407
0
21 Mar 2017
1