Anchor Free Detector

Anchor-free object detectors represent a significant advancement in computer vision, aiming to improve accuracy and efficiency by eliminating the need for pre-defined anchor boxes used in traditional methods. Current research focuses on refining label assignment strategies, developing novel loss functions (like those based on IoU or Gaussian receptive fields), and integrating techniques such as multi-scale feature extraction and attention mechanisms within architectures like YOLO and FCOS variants. These improvements lead to more robust and accurate object detection across diverse applications, including real-time vision, remote sensing, and semi-supervised learning scenarios.