Alma M. Liezenga

An initial assessment of the suitability of VLM-based methods for V&V of defence applications is provided and a VLM-based error slice detection (ESD) method that independently groups and labels systematic errors made by a classification model is proposed.

Synthetic data can dramatically enhance drone detection in thermal imagery, but real data is still essential for bridging performance gaps.

Fine-tuning civilian models on military-relevant datasets can significantly boost target detection performance, but small object detection remains a critical hurdle.