Abstract: Accurately estimating the number of objects across different categories is crucial in remote sensing images for applications ranging from urban planning and environmental monitoring to ...

Abstract: Many LiDAR-based methods for detecting large objects, single-class object detection, or under easy situations were claimed to perform well. However, due to their failure to exploit image ...

When working on Python projects graded by systems like CS220’s, success depends on precision and adherence to requirements. Applying efficient patterns, avoiding language-specific pitfalls, and ...