Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...

Our study found that people are now able to distinguish between AI-generated and human-authored content only 51% of the time.

Abstract: Traditional object detection models often lose the detailed outline information of the object. To address this problem, we propose the Fourier Series Object Detection (FSD). It encodes the ...

Abstract: Underwater object detection (UOD) plays an important role in the exploitation of marine ecological resources. Different from terrestrial images, the complex underwater environment leads to ...

The DINOv3 codebase includes several task-specific heads for a variety of tasks, including classification, depth estimation, object detection, and semantic segmentation. The initial focus of this ...

propose an instance-level alignment module (PDFA) to dynamically adjust the focus of model based on the prediction-discrepancy feedback; develop an image-level alignment module (UFOA) to adaptively ...