Four key concepts are essential for understanding Clojure’s functional programming paradigm. Here’s how to apply what you ...
Abstract: In this work, we introduce a novel method for calculating the 6DoF pose of an object using a single RGB-D image. Unlike existing methods that either directly predict objects’ poses or rely ...
Abstract: With the rapidly increasing demand for oriented object detection (OOD), recent research involving weakly-supervised detectors for learning OOD from point annotations has gained great ...
Abstract: With the rapidly increasing demand for oriented object detection (OOD), recent research involving weakly-supervised detectors for learning rotated box (RBox) from the horizontal box (HBox) ...
Abstract: Oriented object detection is a challenging task in remote sensing, where the detected objects can be represented by oriented bounding boxes (OBBs). Angle prediction in oriented object ...
Abstract: The development of Internet of Things (IoT) technology in the field of intelligent vehicle, has raised requirements on the measurement effect of automotive millimeter wave (MMW) radar sensor ...
Abstract: In object detection, particularly within remote sensing images, the quality of selected samples is crucial for the accuracy and robustness of detection models. However, current sampling ...
Abstract: Object detection from remote sensing images is a key technology for Earth observation applications, which has important scientific research value. Ground objects in remote sensing images ...
Abstract: This thesis presents an extraction method for the key structural parameters of power towers targeting point cloud data. From the point cloud data of power towers scanned by lidar, based on ...
Abstract: Oriented object detection has gained increasing attention due to its ability to detect objects with arbitrary orientations in the field of remote sensing (RS) images. However, the laborious ...
Abstract: Detecting objects in remote sensing images (RSIs) using oriented bounding boxes (OBBs) is flourishing but challenging, wherein the design of OBB representations is the key to achieving ...
Abstract: Weakly textured objects are frequently manipulated by industrial and domestic robots, and the most common two types are transparent and reflective objects; however, their unique visual ...