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End-to-End Trainable Deep Active Contour Models for Automated Image
  Segmentation: Delineating Buildings in Aerial Imagery

End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery

22 July 2020
Ali Hatamizadeh
Debleena Sengupta
Demetri Terzopoulos
ArXivPDFHTML

Papers citing "End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery"

4 / 4 papers shown
Title
Deep ContourFlow: Advancing Active Contours with Deep Learning
Deep ContourFlow: Advancing Active Contours with Deep Learning
Antoine Habis
V. Meas-Yedid
Elsa D. Angelini
Jean-Christophe Olivo-Marin
21
0
0
15 Jul 2024
On the in vivo recognition of kidney stones using machine learning
On the in vivo recognition of kidney stones using machine learning
F. Lopez-Tiro
V. Estrade
Jacques Hubert
Daniel Flores-Araiza
M. González-Mendoza
Gilberto Ochoa
C. Daul
27
27
0
21 Jan 2022
Deep Active Contours Using Locally Controlled Distance Vector Flow
Deep Active Contours Using Locally Controlled Distance Vector Flow
Parastoo Akbarimoghaddam
Atefeh Ziaei
H. Azarnoush
17
5
0
18 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
429
15,595
0
02 Nov 2015
1