GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

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 task of ...

Abstract: Arbitrary-oriented object detection in remote-sensing optical images is an emerging, yet challenging task due to the diversity of the visual appearance of objects. Although considerable ...

Abstract: Despite recent advances in object detection, closed-set detectors with fixed training classes often overlook or misclassify unannotated objects during testing. To address this, open world ...

Abstract: Java Object-Oriented Programming (OOP) is vital in information technology, but students often struggle with abstract concepts and complex logic. This study applies the Block Model (BM) to ...

Abstract: Oriented object detection, which aims at detecting objects with orientation properties, shows great potential for visual analysis in complex scenarios, such as aerial images. However, the ...

Abstract: Oriented object detection in remote sensing images has attracted significant attention, as rotated bounding boxes can more accurately fit targets with arbitrary orientations. However, ...

Abstract: The loss function and feature extraction framework are essential parts of the algorithm design and significantly affect the accuracy of oriented object detection in remote sensing images.

Abstract: Semi-supervised object detection (SSOD), leveraging unlabeled data to boost object detectors, has become a hot topic recently. However, existing SSOD approaches mainly focus on horizontal ...