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Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification,
  and Segmentation to Support Mosquito-borne Disease Risk Assessment

Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment

7 June 2024
Venkanna Babu Guthula
Stefan Oehmcke
Remigio Chilaule
Hui Zhang
Nico Lang
A. Kariryaa
Johan Mottelson
Christian Igel
ArXivPDFHTML

Papers citing "Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment"

2 / 2 papers shown
Title
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
Ali Hatamizadeh
Debleena Sengupta
Demetri Terzopoulos
39
44
0
22 Jul 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
294
75,800
0
18 May 2015
1