Standard
Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures. / Hellweg, Thorben; Oehmcke, Stefen; Kariryaa, Ankit; Gieseke, Fabian; Igel, Christian.
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. red. / Dragi Kocev; Nikola Simidjievski; Ana Kostovska; Ivica Dimitrovski; Žiga Kokalj. Ljubljana : Jožef Stefan Institute , 2022. s. 13-19.
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Hellweg, T, Oehmcke, S, Kariryaa, A, Gieseke, F & Igel, C 2022,
Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures. i D Kocev, N Simidjievski, A Kostovska, I Dimitrovski & Ž Kokalj (red),
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. Jožef Stefan Institute , Ljubljana, s. 13-19, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2021, Bilbao, Spanien,
13/09/2021.
https://doi.org/10.48550/arXiv.2208.03163
APA
Hellweg, T., Oehmcke, S., Kariryaa, A., Gieseke, F., & Igel, C. (2022).
Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures. I D. Kocev, N. Simidjievski, A. Kostovska, I. Dimitrovski, & Ž. Kokalj (red.),
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021 (s. 13-19). Jožef Stefan Institute .
https://doi.org/10.48550/arXiv.2208.03163
Vancouver
Hellweg T, Oehmcke S, Kariryaa A, Gieseke F, Igel C.
Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures. I Kocev D, Simidjievski N, Kostovska A, Dimitrovski I, Kokalj Ž, red., Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. Ljubljana: Jožef Stefan Institute . 2022. s. 13-19
https://doi.org/10.48550/arXiv.2208.03163
Author
Hellweg, Thorben ; Oehmcke, Stefen ; Kariryaa, Ankit ; Gieseke, Fabian ; Igel, Christian. / Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures. Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. red. / Dragi Kocev ; Nikola Simidjievski ; Ana Kostovska ; Ivica Dimitrovski ; Žiga Kokalj. Ljubljana : Jožef Stefan Institute , 2022. s. 13-19
Bibtex
@inproceedings{25c2043fd99344cf9b045b926cf004a3,
title = "Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures",
abstract = "Deep learning methods hold great promise for the automatic analysis of large-scale remote sensing data in archaeological research. Here, we present a robust approach to locating ancient Maya architectures (buildings, aguadas, and platforms) based on integrated segmentation of satellite imagery and aerial laser scanning data. Deep learning models with different architectures and loss functions were trained and combined to form an ensemble for pixel-wise classification. We applied both training data augmentation as well as test-time augmentation and performed morphological cleaning in the postprocessing phase. Our approach was evaluated in the context of the “Discover the mysteries of the Maya: An Integrated Image Segmentation Challenge” at ECML PKDD 2021 and achieved one of the best results with an average IoU of 0.8183.",
author = "Thorben Hellweg and Stefen Oehmcke and Ankit Kariryaa and Fabian Gieseke and Christian Igel",
year = "2022",
doi = "10.48550/arXiv.2208.03163",
language = "English",
pages = "13--19",
editor = "Dragi Kocev and Nikola Simidjievski and Ana Kostovska and Ivica Dimitrovski and {\v Z}iga Kokalj",
booktitle = "Discover the Mysteries of the Maya",
publisher = "Jo{\v z}ef Stefan Institute ",
note = " European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2021, ECML PKDD 2021 ; Conference date: 13-09-2021 Through 17-09-2021",
url = "https://2021.ecmlpkdd.org/index.html",
}
RIS
TY - GEN
T1 - Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures
AU - Hellweg, Thorben
AU - Oehmcke, Stefen
AU - Kariryaa, Ankit
AU - Gieseke, Fabian
AU - Igel, Christian
PY - 2022
Y1 - 2022
N2 - Deep learning methods hold great promise for the automatic analysis of large-scale remote sensing data in archaeological research. Here, we present a robust approach to locating ancient Maya architectures (buildings, aguadas, and platforms) based on integrated segmentation of satellite imagery and aerial laser scanning data. Deep learning models with different architectures and loss functions were trained and combined to form an ensemble for pixel-wise classification. We applied both training data augmentation as well as test-time augmentation and performed morphological cleaning in the postprocessing phase. Our approach was evaluated in the context of the “Discover the mysteries of the Maya: An Integrated Image Segmentation Challenge” at ECML PKDD 2021 and achieved one of the best results with an average IoU of 0.8183.
AB - Deep learning methods hold great promise for the automatic analysis of large-scale remote sensing data in archaeological research. Here, we present a robust approach to locating ancient Maya architectures (buildings, aguadas, and platforms) based on integrated segmentation of satellite imagery and aerial laser scanning data. Deep learning models with different architectures and loss functions were trained and combined to form an ensemble for pixel-wise classification. We applied both training data augmentation as well as test-time augmentation and performed morphological cleaning in the postprocessing phase. Our approach was evaluated in the context of the “Discover the mysteries of the Maya: An Integrated Image Segmentation Challenge” at ECML PKDD 2021 and achieved one of the best results with an average IoU of 0.8183.
U2 - 10.48550/arXiv.2208.03163
DO - 10.48550/arXiv.2208.03163
M3 - Article in proceedings
SP - 13
EP - 19
BT - Discover the Mysteries of the Maya
A2 - Kocev, Dragi
A2 - Simidjievski, Nikola
A2 - Kostovska, Ana
A2 - Dimitrovski, Ivica
A2 - Kokalj, Žiga
PB - Jožef Stefan Institute
CY - Ljubljana
T2 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2021
Y2 - 13 September 2021 through 17 September 2021
ER -
