IEEE

Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration

Abstract: Deep learning has shown promising results for multiple 3D point cloud registration datasets. However, in the underwater domain, most registration of multibeam echo-sounder (MBES) point cloud ...
IEEE

JAVA Mobile Application Development Course Under the Framework of Industry-Education Integration: Practice of Deep Learning and Neural Network Integration

Abstract: The popularization of AI technology, yes the emerging technology represented by deep learning and neural network has gradually become an important tool for solving complex problems.
IEEE

Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud

Abstract: Graph convolutional neural networks can effectively process geometric data and thus have been successfully used in point cloud data representation. However, existing graph-based methods ...
IEEE

Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes

Abstract: Multi-instance point cloud registration estimates the poses of multiple instances of a model point cloud in a scene point cloud. Extracting accurate point correspondences is to the center of ...
IEEE

Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis

Abstract: At present, effectively aggregating and transferring the local features of point cloud is still an unresolved technological conundrum. In this study, we propose a new space-cover ...
IEEE

PatchMixing Masked Autoencoders for 3D Point Cloud Self-Supervised Learning

Abstract: Recently, Point-MAE has extended Masked Autoencoders (MAE) to point clouds for 3D self-supervised learning, which however faces two problems: (1) the shape similarity between the masked ...
IEEE

Learning Implicit Fields for Point Cloud Filtering

Abstract: Since point clouds acquired by scanners inevitably contain noise, recovering a clean version from a noisy point cloud is essential for further 3D geometry processing applications. Several ...
GitHub

Export js/css/php format-settings

Netbeans has an option to export settings and import them into other instances. There is also an option to export format settings, which is good if collaboration. Unfortunately there is only a global ...
IEEE

Contrastive Boundary Learning for Point Cloud Segmentation

Abstract: Point cloud segmentation is fundamental in understanding 3D environments. However, current 3D point cloud segmentation methods usually perform poorly on scene boundaries, which degenerates ...
IEEE

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation

Abstract: Rapid progress in 3D semantic segmentation is inseparable from the advances of deep network models, which highly rely on large-scale annotated data for training. To address the high cost and ...
IEEE

Dual-View 3D Reconstruction via Learning Correspondence and Dependency of Point Cloud Regions

Abstract: Multi-view 3D reconstruction generally adopts the feature fusion strategy to guide the generation of 3D shape for objects with different views. Empirically, the correspondence learning of ...
IEEE

Dual Branch Graph Representation Learning-Based Approach for Next Point-of-Interest Recommendation

Abstract: Next Point-of-Interest (POI) recommendation, a sub-task of POI recommendation, focuses on predicting the next POI a user will visit, relying on the user’s sequential check-in history. In ...