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U-LanD: Uncertainty-Driven Video Landmark Detection

U-LanD: Uncertainty-Driven Video Landmark Detection

2 February 2021
Mohammad Jafari
C. Luong
Michael Y. Tsang
A. Gu
N. V. Woudenberg
R. Rohling
T. Tsang
Purang Abolmaesumi
ArXivPDFHTML

Papers citing "U-LanD: Uncertainty-Driven Video Landmark Detection"

8 / 8 papers shown
Title
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
41
20
0
09 Oct 2023
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark
  Detection on Echocardiograms
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
Masoud Mokhtari
M. Mahdavi
H. Vaseli
C. Luong
Purang Abolmaesumi
T. Tsang
Renjie Liao
22
2
0
23 Jul 2023
Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound
  Videos
Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos
Yuchen Wang
Zhongyu Li
Xiangxiang Cui
Lian Zhang
Xiangde Luo
Meng Yang
S. chang
26
12
0
27 Jun 2022
Improving model calibration with accuracy versus uncertainty
  optimization
Improving model calibration with accuracy versus uncertainty optimization
R. Krishnan
Omesh Tickoo
UQCV
188
157
0
14 Dec 2020
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
Zuxuan Wu
Caiming Xiong
Chih-Yao Ma
R. Socher
L. Davis
125
194
0
29 Nov 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
745
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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