Abstract: Ensuring precise segmentation of point clouds is essential for intelligent inspection in transmission line corridors. The massive scale, unordered distribution, and complex structures of ...
Abstract: Effective sampling plays a critical role in the preprocessing of 3D point cloud data, directly impacting the performance of downstream models. Traditional Farthest Point Sampling (FPS) ...
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 ...
After experiencing weekly CDC failures caused by transaction log issues and logs suddenly chewing up disk space, I found myself repeatedly investigating the same questions: Why is the log so large?
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Photoshop tutorial: Vanishing point!
Photoshop cc tutorial showing how to use the Vanishing Point filter to place logos and other images in perspective onto photographs. Why Congress can't claw back war powers from Trump Latest weather ...
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 ...
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 ...
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