Detection Head

A detection head is a crucial component of object detection models, responsible for classifying and localizing objects within an image or other data modality. Current research focuses on improving detection head efficiency and accuracy across diverse applications, including facial landmark detection, lane detection in autonomous vehicles, and remote sensing image analysis, often employing lightweight architectures like YOLOv7 and incorporating techniques such as knowledge distillation and meta-learning. These advancements aim to balance real-time performance with high accuracy, leading to improved efficiency and robustness in various fields, from embedded systems to autonomous driving and scientific image analysis.