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When Segmentation is Not Enough: Rectifying Visual-Volume Discordance
  Through Multisensor Depth-Refined Semantic Segmentation for Food Intake
  Tracking in Long-Term Care

When Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care

24 October 2019
Kaylen J. Pfisterer
Robert Amelard
A. Chung
Braeden Syrnyk
Alexander MacLean
Heather H. Keller
A. Wong
ArXivPDFHTML

Papers citing "When Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care"

1 / 1 papers shown
Title
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
15,637
0
02 Nov 2015
1