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TGIF-QA Dataset | Papersgraph

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VideosTexts

TGIF-QA

Introduced in TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering2017

About this Dataset

The TGIF-QA dataset contains 165K QA pairs for the animated GIFs from the TGIF dataset [Li et al. CVPR 2016]. The question & answer pairs are collected via crowdsourcing with a carefully designed user interface to ensure quality. The dataset can be used to evaluate video-based Visual Question Answering techniques.

Source: GitHub Image Source: https://github.com/YunseokJANG/tgif-qa

Source: TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering

Dataset Variants

Datasets/

VideosTexts

TGIF-QA

Introduced in TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering2017

About this Dataset

Source: GitHub Image Source: https://github.com/YunseokJANG/tgif-qa

Source: TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering

Dataset Variants

TGIF-QA

Papers1

TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering

This paper proposes three new tasks designed specifically for video VQA, which require spatio-temporal reasoning from videos to answer questions correctly and introduces a new large-scale dataset for videoVQA named TGIF-QA that extends existing VQ a work with its new tasks.

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YunseokJANG/tgif-qa

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