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Found 3 papers, 3 papers with code
DC3DCD: unsupervised learning for multiclass 3D point cloud change detection
In this paper, we propose an unsupervised method, called DeepCluster 3D Change Detection (DC3DCD), to detect and categorize multiclass changes at point level.
Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection
To circumnavigate this dependence, we propose an unsupervised 3D point cloud change detection method mainly based on self-supervised learning using deep clustering and contrastive learning.
Change detection needs change information: improving deep 3D point cloud change detection
While deep learning has recently proven its effectiveness for this particular task by encoding the information through Siamese networks, we investigate herein the idea of also using change information in the early steps of deep networks.
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