Cognitive-YOLO: LLM-Powered Architecture Synthesis for Object Detection
Published:Dec 13, 2025 10:52
•1 min read
•ArXiv
Analysis
This research explores a novel application of Large Language Models (LLMs) in automating the design of object detection architectures. The approach, termed Cognitive-YOLO, represents a significant step towards AI-driven advancements in computer vision, potentially leading to more efficient and specialized detection models.
Key Takeaways
- •Leverages LLMs for automated architecture design in object detection.
- •Aims to create more efficient and specialized object detection models.
- •Represents a novel application of AI in computer vision.
Reference
“The paper originates from ArXiv, suggesting it's a pre-print or research publication.”