IEEE

Cross-Modality Feature Aggregation for Cross-Domain Point Cloud Representation Learning

Abstract: Existing methods for learning 3D point cloud representation often use a single dataset-specific training and testing approach, leading to performance drops due to significant domain shifts ...
IEEE

Optimizing Federated Learning With Aggregation Strategies: A Comprehensive Survey

Abstract: This article provides a comprehensive survey of aggregation strategies in federated learning (FL). This decentralized machine learning (ML) paradigm enables multiple clients to ...
IEEE

DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis

Abstract: Due to the irregular and disordered data structure in 3D point clouds, prior works have focused on designing more sophisticated local representation methods to capture these complex local ...
IEEE

Fast Path Planning of Multienvironmental Factors Comprehensive Constraints in Off-Road Environment Constructed by Aggregation Vector Point Method

Abstract: The accuracy and efficiency of path planning in off-road environments depend on the construction of off-road environment map information. Previous studies have used the grid method to ...
IEEE

Cellular Aggregation Graph Convolutional Network for Point Cloud Quality Assessment

Abstract: Point cloud quality assessment (PCQA) is a challenging task due to the inherently disordered nature of points. Existing point-based methods, such as sparse convolution and PointNet, are ...
IEEE

Generic Models of Aggregate Heat Pump Load with Parameter Dependencies on External Temperature, Supply Voltage and User-Set Operating Point

Abstract: The rapid adoption of heat pumps (HPs) is driven by energy efficiency measures, decarbonization targets and various subsidies. For example, heating demand accounts for nearly a half of the ...