A CONVOLUTIONAL NETWORK FOR SEMANTIC FACADE SEGMENTATION AND INTERPRETATION

13 citations as recorded by crossref.

1. Partial annotations in active learning for semantic segmentation B. Pantoja-Rosero et al. 10.1016/j.autcon.2024.105828
2. Picture This: A Deep Learning Model for Operational Real Estate Emissions B. Gloria & B. Höhn 10.1080/19498276.2023.2251982
3. The Classification of Cultural Heritage Buildings in Athens Using Deep Learning Techniques K. Siountri & C. Anagnostopoulos 10.3390/heritage6040195
4. Detailed Three-Dimensional Building Façade Reconstruction: A Review on Applications, Data and Technologies A. Klimkowska et al. 10.3390/rs14112579
5. Element-Arrangement Context Network for Facade Parsing Y. Tao et al. 10.1007/s11390-022-2189-3
6. DeepWindows: Windows Instance Segmentation through an Improved Mask R-CNN Using Spatial Attention and Relation Modules Y. Sun et al. 10.3390/ijgi11030162
7. Lightweight Semantic Architecture Modeling by 3D Feature Line Detection S. Xu et al. 10.3390/rs15081957
8. Determination of building flood risk maps from LiDAR mobile mapping data Y. Feng et al. 10.1016/j.compenvurbsys.2022.101759
9. A deep learning method for building façade parsing utilizing improved SOLOv2 instance segmentation Y. Lu et al. 10.1016/j.enbuild.2023.113275
10. Semantic segmentation of urban building surface materials using multi-scale contextual attention network F. Xu et al. 10.1016/j.isprsjprs.2023.06.001
11. Integration of convolutional and adversarial networks into building design: A review J. Parente et al. 10.1016/j.jobe.2023.107155
12. End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models Y. Ogawa et al. 10.3390/rs16111858
13. Leveraging deep learning segmentation techniques and connected component analysis to automate high-level cost estimates of facade retrofits using 2D images M. Escalada 10.4995/vitruvio-ijats.2024.22421