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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 ...
Abstract: The point cloud feature aggregation, which learns discriminative features from the disordered points, plays a key role for large-scale point cloud semantic segmentation. Most previous ...
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 ...
OpenCV is a set of libs written in C++ and the compiled into platform-native lib format: *.dll - for Windows, or *.dylib - for Linux / Mac OS. They can be accessed from Java via Java wrapper included ...
The aggregation of host defense peptides is directly linked to their membranolytic properties. A well-known example is the hLL-37 17–29 peptide, where aggregation induces cell lysis. Mutations at the ...
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 ...