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

Documenti analoghi

• Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation
  di: Saito, Nagito, et al.
  Pubblicazione: (2025)
• Efficient License Plate Recognition via Pseudo-Labeled Supervision with Grounding DINO and YOLOv8
  di: Vargoorani, Zahra Ebrahimi, et al.
  Pubblicazione: (2025)
• ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations
  di: Liang, Tianming, et al.
  Pubblicazione: (2025)
• ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
  di: Ayzenberg, Lev, et al.
  Pubblicazione: (2024)
• Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
  di: Ren, Tianhe, et al.
  Pubblicazione: (2024)