This repository serves as a curated collection of blog posts and resources related to various topics in computer vision and deep learning, primarily focusing on Large Language Model (LLM) compression, Neural Architecture Search (NAS), and object detection. It is intended for researchers, engineers, and students seeking to deepen their understanding of these specialized areas through organized and accessible content.

How It Works

The project functions as a structured index of blog posts, categorizing them by subject matter. Each category, such as "LLM Compression," "Neural Architecture Search," or "Transformer," contains a list of blog post titles. These titles often link to detailed explanations, code implementations, or discussions of specific papers and techniques within that domain. The organization aims to provide a clear learning path for users interested in specific subfields of deep learning.

Quick Start & Requirements

This repository is a collection of links and does not require installation or execution. Users can directly browse the content via the README.

Highlighted Details

• Comprehensive coverage of Neural Architecture Search (NAS) with links to foundational papers like DARTS and practical guides on tools like Microsoft NNI.
• Detailed breakdown of Transformer architectures and their applications in computer vision, including papers on DeiT and CvT.
• In-depth exploration of object detection techniques, with specific sections dedicated to YOLOv3 and CenterNet series.
• Resources on LLM compression techniques such as pruning, quantization, and distillation.

Maintenance & Community

The repository is maintained by pprp/SimpleCVPaperReading. Further community engagement or project roadmap details are not explicitly provided in the README.

Licensing & Compatibility

The repository itself, as a collection of links and text, does not appear to have a specific license. The linked blog posts and underlying code repositories would adhere to their respective licenses.

Limitations & Caveats

This repository is a curated list of links to external blog posts and does not host code or provide direct execution environments. The content's accuracy and up-to-dateness depend on the original blog authors.