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MicronNet: A Highly Compact Deep Convolutional Neural Network
  Architecture for Real-time Embedded Traffic Sign Classification

MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification

28 March 2018
A. Wong
M. Shafiee
Michael St. Jules
ArXivPDFHTML

Papers citing "MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification"

4 / 4 papers shown
Title
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)
Phillip Rieger
Alessandro Pegoraro
Kavita Kumari
Tigist Abera
Jonathan Knauer
A. Sadeghi
AAML
50
2
0
11 Jan 2025
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of
  Autonomous Vehicles with Deep Importance Sampling
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling
Mansur Arief
Zhepeng Cen
Zhen-Yan Liu
Zhiyuan Huang
H. Lam
Bo-wen Li
Ding Zhao
UQCV
26
2
0
04 Apr 2022
On the Minimal Adversarial Perturbation for Deep Neural Networks with
  Provable Estimation Error
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error
Fabio Brau
Giulio Rossolini
Alessandro Biondi
Giorgio Buttazzo
AAML
29
7
0
04 Jan 2022
Towards Principled Design of Deep Convolutional Networks: Introducing
  SimpNet
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
50
45
0
17 Feb 2018
1