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

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

Target Point Cloud Segmentation for Battery Swapping Robot Based on Multi-scale Attention Aggregation

Abstract: Rapid and accurate segmentation of 3D point clouds is critical for optimizing battery-swapping robots and ensuring precise assembly. To address the challenges of computational inefficiency ...
CoinDesk

Prediction markets beat Wall Street in forecasting inflation, Kalshi says

Prediction market traders consistently beat professionals in forecasting inflation, especially when the readings deviate from estimates by a greater amount, according to a study by prediction market ...
IEEE

CANet: Cellular Aggregation Network for Point Cloud Quality Assessment

Abstract: The concept of visual masking reveals that human visual perception is influenced by content and distortion information. Existing projection-based methods lose depth information and intrinsic ...
IEEE

Towards Privacy-Preserving and Error-Tolerant Wireless Federated Learning: Fixed-Point Model Aggregation with Differential Privacy Guarantees

Abstract: This paper presents a novel approach for wireless federated learning (WFL) that, for the first time, enables the aggregation of local models with mild to moderate errors under practical ...