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Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset
  Shifts

Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts

7 September 2020
Tiago Azevedo
R. D. Jong
Matthew Mattina
Partha P. Maji
    UQCV
ArXivPDFHTML

Papers citing "Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts"

5 / 5 papers shown
Title
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for
  Autonomous Driving
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Liang Peng
Boqi Li
Wen-Hui Yu
Kailiang Yang
Wenbo Shao
Hong Wang
AAML
44
24
0
08 Nov 2022
Instance-Aware Observer Network for Out-of-Distribution Object
  Segmentation
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
44
1
0
18 Jul 2022
On Efficient Uncertainty Estimation for Resource-Constrained Mobile
  Applications
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications
J. Rock
Tiago Azevedo
R. D. Jong
Daniel Ruiz-Munoz
Partha P. Maji
UQCV
40
5
0
11 Nov 2021
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
K. Deepshikha
Sai Harsha Yelleni
P. K. Srijith
C.Krishna Mohan
BDL
UQCV
34
88
0
08 Aug 2021
Stochastic-Shield: A Probabilistic Approach Towards Training-Free
  Adversarial Defense in Quantized CNNs
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs
Lorena Qendro
Sangwon Ha
R. D. Jong
Partha P. Maji
AAML
FedML
MQ
28
7
0
13 May 2021
1