engindeniz/vitis

[ICCV 2023 CLVL Workshop] Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts

21
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Experimental

This project helps answer questions about video content, even if it hasn't been specifically trained for that exact type of question. You provide a video and a text question, and it gives you a text answer. This is useful for researchers and data scientists who need to quickly get insights from large video datasets or build new video-understanding applications.

No commits in the last 6 months.

Use this if you need to perform video question answering with very little or no specific training data for your particular questions or video types.

Not ideal if you are looking for an out-of-the-box application rather than a research framework that requires setup and data processing.

video-analysis research-tool content-understanding question-answering multi-modal
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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14

Forks

Language

Python

License

Apache-2.0

Last pushed

Jan 13, 2025

Commits (30d)

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