Abstract: The rotation of camera during scanning imaging induces the image degradation, which means both resident space objects (RSOs) and stars have the same morphological characteristics in the ...
Abstract: The hybrid soft open point (HSOP), formed by the parallel combination of the normally open point (NOP) and the soft open point (SOP), combines the advantages of flexibility and high ...
Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.
Abstract: Oriented object detection (OOD) in remote sensing images (RSIs) remains a challenging work due to an arbitrary orientation of instances. Learning rotation-invariant features is critical in ...
Abstract: Oriented object detection in aerial images has made significant advancements propelled by well-developed detection frameworks and diverse representation approaches to oriented bounding boxes ...
Abstract: At present, with the original point cloud as input, most of the object detectors use Pointnet++ to extract features of the point cloud based on the Farthest Point Sampling (FPS). However, ...
Abstract: One of the major drawbacks of the neutral-point clamped (NPC) inverter is unequal power loss distribution among power devices, which leads to unequal thermal loadings. Therefore, certain ...
Abstract: In this paper, we study the problem of 3D object segmentation from raw point clouds. Unlike existing methods which usually require a large amount of human annotations for full supervision, ...
Abstract: Oriented object detectors provide many scientific solutions for object detection tasks in remote-sensing scenes. Among them, anchor-free oriented object detectors have attracted much ...
Abstract: The evolution of 3D visualization techniques has fundamentally transformed how we interact with digital content. At the forefront of this change is point cloud technology, offering an ...
Abstract: Oriented object detection has been developed rapidly in the past few years, where rotation equivariance is crucial for detectors to predict rotated boxes. It is expected that the prediction ...
Abstract: Object detection forms the foundation of safe autonomous vehicle (AV) operation. LiDAR and camera are both widely used detection devices, yet they each come with their unique advantages and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback