Rúben Freitas

A Multi-Level Synthetic–Real Data Fusion Framework for Underwater Object Detection

Evaluating multi-source training strategies at the data, pixel, object, and training levels demonstrates that synthetic data effectiveness is not inherent but conditional on how it is generated, structured, and integrated relative to the target architecture and available real data, providing practical guidance for scaling UOD in marine monitoring applications.