Marker Code

Marker codes represent a diverse set of techniques using identifiable markers to achieve various objectives, from improving data reliability in challenging communication channels to enabling precise object localization in robotics and image analysis. Current research focuses on leveraging deep learning, particularly convolutional neural networks and recurrent neural networks, to enhance marker detection and interpretation, often incorporating advanced techniques like multi-task learning and model-theoretic approaches. These advancements have significant implications across diverse fields, including medical imaging, autonomous navigation, and data storage, by improving accuracy, robustness, and efficiency in marker-based systems.