KAN-YOLO: a nonlinear-enhanced and state space duality-driven YOLO network for robust ship detection in complex maritime scenes

Key Points

• Robust ship detection is achieved in complex maritime scenes, enhancing operational efficiency and safety.
• The model utilizes a nonlinear enhancement approach combined with state space principles for improved results.
• Assessment utilizing a duality-driven YOLO network demonstrates significant advancements in ship detection accuracy.
• These findings may enable more effective monitoring and management of maritime traffic, impacting global shipping operations.