Real-life scenarios contain more complex relationships between audio-visual objects and a wider varieties of audio-visual daily activities. AVQA is an audio-visual question answering dataset for the multimodal understanding of audio-visual objects and activities in real-life scenarios on videos.
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What is the dataset for question answering system?
Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.
Oct 10, 2022 · Audio-visual question answering aims to answer questions regarding both audio and visual modalities in a given video, and has drawn ...
ABSTRACT. Audio-visual question answering aims to answer questions regard- ing both audio and visual modalities in a given video, and has drawn.
Oct 9, 2022 · Audio-visual question answering aims to answer questions regarding both audio and visual modalities in a given video. ... To achieve an accurate ...
AVQA is an audio-visual question answering dataset for the multimodal understanding of audio-visual objects and activities in real-life scenarios on videos.
The large-scale MUSIC-AVQA dataset of musical performance contains 45867 question-answer pairs, distributed in 9288 videos for over 150 hours.
Dec 20, 2023 · This paper focuses on the Audio-Visual Question Answering (AVQA) task that aims to answer questions derived from untrimmed audible videos. To ...
We propose a novel benchmark named Pano-AVQA as a large- scale grounded audio-visual question answering dataset on panoramic videos. Using 5.4K 360◦ video ...
Apr 18, 2024 · Abstract:Audio-Visual Question Answering (AVQA) is a complex multi-modal reasoning task, demanding intelligent systems to accurately respond ...
In this paper, we focus on the Audio-Visual Question. Answering (AVQA) task, which aims to answer questions regarding different visual objects, sounds, ...