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Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data

Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data

Guansong Lu
Yueh-Cheng Liu
Tung-I Chen
Hung-Ting Su
Tsung-Han Wu
Winston H. Hsu
    UQCV
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Papers citing "Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data"

3 / 3 papers shown
Title
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
278
5,695
0
05 Dec 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
472
15,657
0
02 Nov 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
289
9,167
0
06 Jun 2015