Mapping

Visual Place Recognition in Forests with Depth-Aware Distillation

The authors improve visual place recognition in forests by distilling depth cues into a DINOv2 descriptor. Their lightweight model keeps the original embedding space but becomes more robust to lighting and seasonal changes on a recent forest benchmark.