Awesome Video Text Retrieval
A curated list of deep learning resources for video-text retrieval, including papers, implementations, and datasets.
What is Awesome Video Text Retrieval?
Awesome Video-Text Retrieval is a curated GitHub repository listing deep learning resources for video-text retrieval, a subfield of multimodal AI. It aggregates academic papers, code implementations, and datasets to help researchers and engineers find relevant materials for building systems that can search videos using textual queries or generate text from video content.
AI researchers, machine learning engineers, and graduate students working on video understanding, cross-modal retrieval, or multimodal representation learning who need a structured overview of the field's literature and tools.
It saves significant time in literature review by providing a centralized, chronologically organized, and community-updated list of state-of-the-art resources, which is especially valuable in a fast-moving research area with scattered publications.
Overview
A curated list of deep learning resources for video-text retrieval.
Use Cases
Best For
- Literature review for video-text retrieval research
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