This repository is a curated list of deep learning resources for video-text retrieval, targeting researchers and practitioners in the field. It provides a comprehensive overview of papers, implementations, and datasets, serving as a valuable starting point for understanding the state-of-the-art and developing new models.

How It Works

The list categorizes resources by year, implementation framework (PyTorch, TensorFlow, Others), and specific sub-tasks like ad-hoc video search. It links to papers, code repositories, and dataset pages, enabling users to quickly access relevant materials and explore different approaches to video-text alignment and retrieval.

Quick Start & Requirements

This is a curated list, not a runnable project. No installation or specific requirements are listed.

Highlighted Details

• Extensive collection of papers from major conferences (CVPR, ECCV, ICCV, SIGIR, etc.) dating back to 2015.
• Categorization of implementations by framework (PyTorch, TensorFlow, Keras, MXNet).
• Links to prominent datasets like MSR-VTT, ActivityNet Captions, and HowTo100M.
• Includes resources for specialized tasks such as ad-hoc video search and cross-lingual retrieval.

Maintenance & Community

The repository is maintained by danieljf24. There are no explicit mentions of community channels or a roadmap.

Licensing & Compatibility

The repository content is licensed under terms that allow for use to the extent possible under law, with copyright and related rights assigned to danieljf24. Specific licensing for individual papers or code is not detailed here but would be found in their respective linked sources.

Limitations & Caveats

This is a curated list and does not provide any executable code or pre-trained models. The focus is solely on referencing existing research.