Pith. sign in

Reference change · event page

Reference changes · DOI

EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

This page records that a citing paper's bibliography includes a work with a published notice. It is not a judgment on the citing paper.

Correction Crossref 1 open · 1 total · 0 disputed
DOI
10.1038/s41597-023-02040-2
Notice DOI
10.1038/s41597-023-02141-y
Event date
2023-04-18
Machine twin
JSON

01One-hop citing occurrences

Correction Open
An Object-Based Deep Learning Approach for Building Height Estimation from Single SAR Images

ref [16] · 2507.08096 · notice #8847 · dispute

Raw extraction · citation context

2010.01.001. 16. Milojevic-Dupont, Nikola and Wagner, Felix.; Nachtigall, F.; Hu, J.; Brüser, G.B.; Zumwald, M.; Biljecki, F.; Heeren, N.; Kaack, L.H.; Pichler, P .P .; Creutzig, F. EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings. Scientific Data 2023, 10, 147. https://doi.org/10.1038/s41597-023-02040-2. 17. Egger, P .; Rao, S.X.; Papini, S. Building Floorspace in China: A Dataset and Learning Pipeline, 2023, [arXiv:cs.CV/2303.02230]. 18. Wangiyana, S.; Samczy ' nski, P .; Gromek, A. Data augmentation for building footprint segmenta- tion in SAR images: an empirical study. Remote Sensing 2022, 14, 2012. 19. He, K.; Zhang, X.; Ren, S.; Sun, J. Deep residual learning for image recognition.

Parser render (TeX stripped for reading; raw above is the evidence)

2010.01.001. 16. Milojevic-Dupont, Nikola and Wagner, Felix.; Nachtigall, F.; Hu, J.; Brüser, G.B.; Zumwald, M.; Biljecki, F.; Heeren, N.; Kaack, L.H.; Pichler, P .P .; Creutzig, F. EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings. Scientific Data 2023, 10, 147. https://doi.org/10.1038/s41597-023-02040-2. 17. Egger, P .; Rao, S.X.; Papini, S. Building Floorspace in China: A Dataset and Learning Pipeline, 2023, [arXiv:cs.CV/2303.02230]. 18. Wangiyana, S.; Samczy ' nski, P .; Gromek, A. Data augmentation for building footprint segmenta- tion in SAR images: an empirical study. Remote Sensing 2022, 14, 2012. 19. He, K.; Zhang, X.; Ren, S.; Sun, J. Deep residual learning for image recognition

Status lifecycle on notices: open → disputed → (response attached on the notice page). Repaired counts matter as much as open counts. There is no “safe,” “invalid,” or “resolved” badge.