Update README.md

README.md

@@ -17,11 +17,11 @@ metrics:
 - average-recall (AR)
 ---
 
-# PF-RPN: Prompt-Free Region Proposal Network
+# PF-RPN: Prompt-Free Universal Region Proposal Network
 
 ## 🧠 Model Details
 
-**PF-RPN** (Prompt-Free Region Proposal Network) is a state-of-the-art model for Cross-Domain Open-Set Object Detection, accepted at **CVPR 2026**. 
+**PF-RPN** (Prompt-Free Universal Region Proposal Network) is a state-of-the-art model for Cross-Domain Open-Set Region Proposal Network, accepted at **CVPR 2026**. 
 
 Open-vocabulary detectors typically rely on text prompts (class names), which can be unavailable, noisy, or domain-sensitive during deployment. PF-RPN tackles this by revisiting region proposal generation under a strictly **prompt-free** setting. Instead of specific category names, all categories are unified into a single token (`object`). 
 
@@ -32,8 +32,8 @@ To improve proposal quality without explicit class prompts, PF-RPN introduces th
 3. **Centerness-Guided Query Selection:** Selects top-k decoder queries using joint confidence scores.
 
 ### Model Sources
-- **Repository:** [PF-RPN GitHub Repository](https://github.com/tangqh03/PF-RPN) *(Insert your GitHub link here)*
-- **Paper:** PF-RPN: Prompt-Free Region Proposal Network for Cross-Domain Open-Set Object Detection (CVPR 2026)
+- **Repository:** [PF-RPN GitHub Repository](https://github.com/tangqh03/PF-RPN)
+- **Paper:** PF-RPN: Prompt-Free Universal Region Proposal Network (CVPR 2026)
 - **Base Framework:** [MMDetection 3.3.0](https://github.com/open-mmlab/mmdetection)
 - **Backbone:** Swin-Base (`swinb`)