reasoning-19
Video Question Answering
3260 papers • 126 benchmarks • 313 datasets
Video Question Answering (VideoQA) aims to answer natural language questions according to the given videos. Given a video and a question in natural language, the model produces accurate answers according to the content of the video.
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Benchmarks
These leaderboards are used to track progress in video-question-answering-39
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Dataset
Best Model
Actions
ActivityNet-QA
ActivityNet-QA
NExT-QA
NExT-QA
MSRVTT-QA
MSRVTT-QA
Libraries
iUse these libraries to find video-question-answering-39 models and implementations
2 papers 8,732
Datasets
No datasets available.
