Author

F. G. Heslinga

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Review Sep 2026

Domain generalization and synthetic data in object detection: the enabler, the probe, and the gap

Object detection models often experience performance degradation when deployed under distribution shifts, caused by for example changes in weather type, operational environment, or object appearance. Domain Generalization (DG) aims to develop models that remain robust under such shifts and generalize well to unseen dom...

E. Hofmeijer, Ella P. Fokkinga, F. G. Heslinga et al. · 2 citations

Open access Sep 2026

Domain shift-robust object detection with GenAI image editing

This work hypothesizes that generative image editing can simulate a controlled domain shift in training data, effectively bridging the gap between source and target domains, and studies camouflaged military vehicle detection as a challenging domain shift scenario.

Isabel D. Stein, Thijs A. Eker, Sebastiaan P. Snel et al. · Artificial Intelligence for... · 0 citations

#generative ai Preprint Sep 2026

RGB-to-IR image translation for infrared vehicle detection in unseen UAV domains

Although a performance gap to real target IR data remains, generative RGB-to-IR translation effectively mitigates IR data scarcity and improves cross-domain aerial vehicle detection.

Thijs A. Eker, Ella P. Fokkinga, Jan Erik van Woerden et al. · 0 citations