ActivityNet-QA
홈페이지 · 논문 146편
The ActivityNet-QA dataset contains 58,000 human-annotated QA pairs on 5,800 videos derived from the popular ActivityNet dataset. The dataset provides a benchmark for testing the performance of VideoQA models on long-term spatio-temporal reasoning. Source: [ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering](/paper/activitynet-qa-a-dataset-for-understanding)
VideosTexts English