Training with synthetic data for drone detection in thermal imagery
This work investigates a synthetic-first training strategy that combines synthetic scene generation with fine-tuning on real data and shows that synthetic data provides an effective basis for learning initial object representations, while real in-domain thermal imagery is still essential for reliable deployment.