AdaptVPR Uses VLM-Guided Generative Augmentation for Robust Place Recognition

AdaptVPR improves visual place recognition by using a vision language model to assess scene editability and generate hard positive training samples. A rule-based scheduler manages three distinct generation routes to mitigate domain shifts from lighting, weather, and seasonal changes.