Robust Object Detection

Robust Object Detection is a key technology in the field of computer vision, aimed at improving the stability and accuracy of object detection algorithms in complex environments. Its core objective is to enhance robustness against challenging factors such as occlusion, lighting changes, and pose variations by optimizing model architecture and training methods, thereby achieving more reliable object recognition and localization. This technology is widely applied in areas like autonomous driving, security surveillance, and intelligent robotics, playing a crucial role in enhancing the overall performance of these systems.