Zero-Shot and Supervised Bird Image Segmentation Using Foundation Models: A Dual-Pipeline Approach with Grounding DINO~1.5, YOLOv11, and SAM~2.1

Researchers developed a dual-pipeline framework for bird image segmentation using foundation models including Grounding DINO 1.5, YOLOv11, and SAM 2.1. The supervised pipeline achieved state-of-the-art results with 0.912 IoU on the CUB-200-2011 dataset, while the zero-shot pipeline achieved 0.831 IoU using only text prompts.