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 ...

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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: The application of oriented object detection in the field of aerial images has gained substantial attention and made significant progress. However, most one-stage object detectors struggle ...

Abstract: In the field of Earth observation and computer vision, oriented object detection for remotesensing images is a crucial task that aims to locate objects more accurately in complex scenes ...

Abstract: Camouflaged object segmentation (COS) is a recently emerging task due to its broad application prospect. The coloration and texture similarities between the objects and their surroundings ...

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 ...

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, ...