This repository is a curated list of deep learning resources for computer vision, serving as a comprehensive reference for researchers and practitioners. It organizes papers, courses, books, software, and tutorials across various computer vision tasks, aiming to provide a structured overview of the field's advancements.

How It Works

The repository functions as a knowledge base, categorizing and linking to seminal and recent research papers, influential software frameworks, and educational materials. It covers a wide spectrum of computer vision sub-fields, including image classification, object detection, semantic segmentation, and image generation, providing direct links to papers, code, and project pages.

Quick Start & Requirements

This is a curated list, not a software package. No installation or execution is required.

Highlighted Details

• Extensive coverage of foundational and state-of-the-art deep learning papers in computer vision.
• Categorization by task, including ImageNet Classification, Object Detection, Semantic Segmentation, and Image Generation.
• Links to relevant code repositories, project pages, and datasets for many listed papers.
• Inclusion of courses, books, and tutorials for learning deep vision concepts.

Maintenance & Community

The project is not actively maintained. Contributions are welcome via pull requests.

Licensing & Compatibility

The repository itself is a list of links and does not have a specific license. The licenses of the linked resources vary.

Limitations & Caveats

The list is not actively maintained, meaning newer advancements may not be included. The sheer volume of information can be overwhelming without a specific focus.