CNN vs Vision Transformers: A Comprehensive Comparison 🚀📊

Authors:

📌 Amchaar Anas
📌 Ilyas Fardaoui
📅 February 1, 2025
📍 MadeInMorocco.AI Community

📖 Overview

This repository contains our research paper, "A Comprehensive Comparison of Convolutional Neural Networks and Vision Transformers in Computer Vision."

In this work, we explore the fundamental differences between CNNs and ViTs, their strengths, weaknesses, and potential hybrid approaches that merge the best of both architectures.

📌 Key Topics Covered

✅ Convolutional Neural Networks (CNNs): Evolution, strengths, and applications
✅ Vision Transformers (ViTs): How they work, advantages, and limitations
✅ Comparative Analysis: Performance, computational efficiency, and real-world use cases
✅ Hybrid Models: Combining CNNs and ViTs for optimal results

📂 Repository Structure

📂 CNN_vs_ViT  
 ├── 📄 CNN_vs_ViT.pdf   # Full research paper  
 ├── 📜 README.md       # Project documentation  
 ├── 📁 Code            # Sample implementations (Coming Soon)  
 

📜 How to Use This Repository

• 📥 Download the research paper to explore our findings.
• 💡 Check out the code (coming soon!) for CNN and ViT implementations.
• 🌍 Contribute by suggesting improvements, corrections, or discussions in the Issues section.

🚀 Join the Discussion!

We are members of MadeInMorocco.AI, a growing AI community where we share knowledge, research, and ideas. Interested in joining? Feel free to connect with us!

📢 Acknowledgments

A huge thanks to Ilyas Fardaoui for his hard work in making this research happen!

📮 Contact & Contribution

🔹 Open an issue for questions or discussions.
🔹 Fork & submit a pull request for improvements.
🔹 Reach out on LinkedIn or through our AI community!

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📌 Star ⭐ this repo if you find it useful! Let's push AI research forward! 🚀

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