Introduction to the Daily Paper Computer Vision Project
The "daily-paper-computer-vision" project is a comprehensive endeavor aimed at curating and organizing papers related to computer vision, deep learning, and machine learning. It serves as a continuously updated repository that collects and disseminates high-quality research papers in these fields. The project's main goal is to provide a structured and easily accessible platform for researchers, scholars, and enthusiasts to keep up with the latest developments and groundbreaking discoveries.
CV Premium Paper Dispatch
The project includes a section known as the "CV Premium Paper Dispatch," which is dedicated to delivering quality papers on a daily basis throughout the year. For instance, the papers for 2023 are updated daily in a dedicated markdown file. This feature enables users to access cutting-edge research without the hassle of searching across multiple sources.
Moreover, the project encourages the community of computer vision enthusiasts, known as CVers, to join forces and participate in knowledge sharing through the largest AI knowledge network: CVer. This community focuses on various aspects of computer vision and artificial intelligence, covering topics such as object detection, semantic segmentation, and more. It is a hub for continuous learning and professional growth in the AI landscape.
CV Top Conferences/Publications
Another key component of the project is the collection of high-ranking conferences and publications from recent years, dating back to 2017. Each year is meticulously cataloged with links to lists of accepted papers, and whenever available, links to associated code repositories. This archive not only lists the papers but also connects users directly with the work through downloadable PDFs and code collections on platforms like GitHub.
Highlights by Year
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2023: Includes crucial conferences like CVPR, IJCAI, and ICLR. This year's repository focuses on providing seamless access to paper lists and associated code archives.
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2022 and Earlier: The project houses archives from reputable conferences such as NeurIPS, ECCV, and ACM MM. These are supplemented by links to shared resources like diagrams, graphs, and extended datasets.
The data encompassed in the "daily-paper-computer-vision" project supports both seasoned researchers and newcomers alike in navigating the rapidly evolving fields of machine learning and computer vision. With its well-organized structure and comprehensive scope, the project is an invaluable tool for staying informed and engaged with the latest research.