High Stability Marine Pollution Detection Model based on a Drone Platform

Currently, unmanned aerial vehicles (UAVs) have a wide range of applications. One such application is the detection of marine pollution, for which numerous methods have been proposed. While validation on public datasets has shown promising results, our practical experience has revealed that the color of the sea can vary across different regions, leading to inaccurate detection results. This paper presents a marine pollution detection model that is highly stable and capable of accurately detecting pollution in various environments without requiring additional training data. Our evaluation results show that the proposed model improves the IoU by about 13% and 14%, and the F1-score by about 10% and 23.9% for ocean and marine pollution, respectively, compared to the baseline model on unseen domains, proving its effectiveness.