Rewanth Ravindran

Manual Annotations Meet Fine-Tuned Foundation Models: A Comparison on Tree Crown Segmentation Task

This study investigates a lightweight fine-tuning strategy using Low-Rank Adaptation (LoRA) to adapt SAM for ITC segmentation on the BAMFORESTS dataset and shows that parameter-efficient fine-tuning provides a practical pathway toward scalable ITC segmentation.