AI RESEARCH
VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection
arXiv CS.CV
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ArXi:2604.21502v1 Announce Type: new In real-world scenarios, continual changes in weather, illumination, and imaging conditions cause significant domain shifts, leading detectors trained on a single source domain to degrade severely in unseen environments. Existing single-domain generalized object detection (SDGOD) methods mainly rely on data augmentation or domain-invariant representation learning, but pay limited attention to detector mechanisms, leaving clear limitations under complex domain shifts.