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Quantifying Statistical Significance of Neural Network-based Image
  Segmentation by Selective Inference

Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference

5 October 2020
Vo Nguyen Le Duy
S. Iwazaki
Ichiro Takeuchi
ArXivPDFHTML

Papers citing "Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference"

5 / 5 papers shown
Title
Statistical Inference for Clustering-based Anomaly Detection
Statistical Inference for Clustering-based Anomaly Detection
Nguyen Thi Minh Phu
Duong Tan Loc
Vo Nguyen Le Duy
22
0
0
25 Apr 2025
Selective Inference for Changepoint detection by Recurrent Neural
  Network
Selective Inference for Changepoint detection by Recurrent Neural Network
Tomohiro Shiraishi
Daiki Miwa
Vo Nguyen Le Duy
Ichiro Takeuchi
11
4
0
25 Nov 2023
Valid P-Value for Deep Learning-Driven Salient Region
Valid P-Value for Deep Learning-Driven Salient Region
Daiki Miwa
Vo Nguyen Le Duy
I. Takeuchi
FAtt
AAML
16
14
0
06 Jan 2023
More Powerful Conditional Selective Inference for Generalized Lasso by
  Parametric Programming
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
Vo Nguyen Le Duy
Ichiro Takeuchi
23
33
0
11 May 2021
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
437
15,631
0
02 Nov 2015
1