This special session focuses on the intersection of deep learning techniques and maritime applications, addressing both theoretical advances and practical deployments. Other applications of deep learning techniques related to transportation systems will also be considered. Topics of interest include but are not limited to:

• Deep learning techniques for vessel detection and classification in satellite and drone imagery

• Anomaly detection in maritime traffic using spatiotemporal data

• Autonomous navigation and path planning for vessels using reinforcement learning and imitation learning techniques

• Sensor fusion and multimodal learning techniques for maritime environments

• Handling imbalanced, limited, and noisy maritime datasets

• Explainable AI (XAI) and trustworthy deep learning techniques in safety-critical maritime systems

• Domain adaptation and generalization for maritime environments

• Real-time deep learning solutions for maritime surveillance

The session encourages submissions from academia, industry, and governmental bodies addressing real-world challenges, datasets, and solutions.