Abstract: With the rise of autonomous driving, LiDAR-based object detection using deep neural networks (DNNs) has shown exceptional performance. However, DNNs are vulnerable to adversarial attacks, ...
Abstract: Object detection in aerial imagery, particularly from unmanned aerial vehicles (UAVs) and remote sensing platforms, is crucial but faces significant challenges such as modality misalignment, ...
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 ...