While many students find AI chatbots helpful for programming tasks, a recent study suggests a potential downside. The ...

Abstract: Recent advances in 3D object detection typically learn voxel-based or point-based representations on point clouds. Point-based methods preserve precise point positions but incur high ...

Abstract: The aim of this paper is to obtain students' review on the possible difficulties and workload when mastering the prescribed learning outcomes in object-oriented programming courses based on ...

Abstract: Oriented object detection in synthetic aperture radar (SAR) images presents significant challenges due to the scarcity of labeled data. In contrast, acquiring labeled optical remote sensing ...

Abstract: Oriented object detection plays an important role in aerial image interpretation. Image processing speed is also essential due to massive amounts of aerial images. Anchor-free oriented ...

Abstract: Single point-supervised object detection is gaining attention due to its cost-effectiveness. However, existing approaches focus on generating horizontal bounding boxes (HBBs) while ignoring ...

Abstract: Oriented object detection with remote sensing scenes has made excellent progress in recent years, especially using anchor-free detectors. Without the limitation of inherent prior spatial ...

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: Oriented object detection, which aims to detect multi-oriented objects, is a fundamental task for visual analysis in complex scenarios, such as aerial images. However, powerful detection ...

Abstract: Two-stage detectors are widely used in oriented object detection and have achieved high detection accuracy. However, some inconsistency issues in two-stage detectors limit their further ...