A review on artificial intelligence applications for facades
This review applies a transformer-based topic model to reveal trends and relationships in
Artificial Intelligence (AI)-driven facade research, with a focus on architectural …
Artificial Intelligence (AI)-driven facade research, with a focus on architectural …
Uncertainty-guided contrastive learning for weakly supervised point cloud segmentation
Three-dimensional point cloud data are widely used in many fields, as they can be easily
obtained and contain rich semantic information. Recently, weakly supervised segmentation …
obtained and contain rich semantic information. Recently, weakly supervised segmentation …
Weakly supervised 3D point cloud semantic segmentation for architectural heritage using teacher-guided consistency and contrast learning
Point cloud semantic segmentation is significant for managing and protecting architectural
heritage. Currently, fully supervised methods require a large amount of annotated data …
heritage. Currently, fully supervised methods require a large amount of annotated data …
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation
Q Wang, Y Jia, J Gao, Q Li - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
Few-shot segmentation (FSS) for remote sensing (RS) imagery leverages supporting
information from limited annotated samples to achieve query segmentation of novel classes …
information from limited annotated samples to achieve query segmentation of novel classes …
QPCR: Weakly-supervised Semantic Segmentation of Large-scale Point Cloud via Gradual Query Points Component Reasoning
L Zhan, W Li, J Jiang, T Zhou, C Wen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Semantic segmentation of large-scale point clouds under weak supervision is challenging
due to the limited annotations. Current methods typically rely on the implicit use of …
due to the limited annotations. Current methods typically rely on the implicit use of …
[HTML][HTML] Optimal Feature-Guided Position-Shape Dual Optimization for Building Point Cloud Facade Detail Enhancement
S Li, F Yan, K Ma, Q Hu, F Wang, W Liu - Remote Sensing, 2024 - mdpi.com
Dense three-dimensional point clouds are the cornerstone of modern architectural 3D
reconstruction, containing a wealth of semantic structural information about building …
reconstruction, containing a wealth of semantic structural information about building …
[HTML][HTML] Point cloud semantic segmentation with adaptive spatial structure graph transformer
T Han, Y Chen, J Ma, X Liu, W Zhang, X Zhang… - International Journal of …, 2024 - Elsevier
With the rapid development of LiDAR and artificial intelligence technologies, 3D point cloud
semantic segmentation has become a highlight research topic. This technology is able to …
semantic segmentation has become a highlight research topic. This technology is able to …
Weakly Supervised Large-Scale Point Cloud Semantic Segmentation based on Dual Consistency Constraints and Uncertainty-Aware Fusion
Weakly supervised point cloud semantic segmentation has attracted more and more
attention due to its capability to circumvent the time-consuming and expensive full labeling …
attention due to its capability to circumvent the time-consuming and expensive full labeling …
Weakly-Supervised Semantic Segmentation of ALS Point Clouds Based on Auxiliary Line and Plane Point Prediction
J Chen, Y Zhang, F Ma, K Huang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The segmentation of airborne lidar scanning (ALS) point clouds is one of the basic tasks in
remote sensing field. The existed learning-based methods have acquired satisfactory …
remote sensing field. The existed learning-based methods have acquired satisfactory …
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation
Few-shot segmentation (FSS) for remote sensing (RS) imagery leverages supporting
information from limited annotated samples to achieve query segmentation of novel classes …
information from limited annotated samples to achieve query segmentation of novel classes …