visualqa.org

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• 1. VQA: Visual Question Answering

  visualqa.org

  Link: https://visualqa.org/

  Description: WEBVQA is a new dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to answer. 265,016 images (COCO and abstract scenes) At least 3 questions (5.4 questions on average) per image. 10 ground truth answers per question.

• 2. Visual Question Answering (VQA) | Papers With Code

  paperswithcode.com

  Link: https://paperswithcode.com/task/visual-question-answering

  Description: WEB757 papers with code • 62 benchmarks • 112 datasets. Visual Question Answering (VQA) is a task in computer vision that involves answering questions about an image. The goal of VQA is to teach machines to understand the content of an image and answer questions about it in natural language. Image Source: visualqa.org.

• 3. VQA: Visual Question Answering | Papers With Code

  paperswithcode.com

  Link: https://paperswithcode.com/paper/vqa-visual-question-answering

  Description: WEBEdit social preview. We propose the task of free-form and open-ended Visual Question Answering (VQA). Given an image and a natural language question about the image, the task is to provide an accurate natural language answer. Mirroring real-world scenarios, such as helping the visually impaired, both the questions and answers are open-ended.

• 4. VQA: Visual Question Answering

  visualqa.org

  Link: https://visualqa.org/download.html

  Description: WEBAn example BibTeX is: @InProceedings{VQA, author = {Stanislaw Antol and Aishwarya Agrawal and Jiasen Lu and Margaret Mitchell and Dhruv Batra and C. Lawrence Zitnick and Devi Parikh}, title = {VQA: Visual Question Answering}, booktitle = {International Conference on Computer Vision (ICCV)},

• 5. VQA: Visual Question Answering

  visualqa.org

  Link: https://visualqa.org/challenge.html

  Description: WEBFollowing COCO, we have divided the test set for VQA v2.0 into a number of splits, including test-dev, test-standard, test-challenge, and test-reserve, to limit overfitting while giving researchers more flexibility to test their system.Test-dev is used for debugging and validation experiments and allows for maximum 10 submissions per day (according to …

• 6. Visual Question Answering v2.0 Dataset | Papers With Code

  paperswithcode.com

  Link: https://paperswithcode.com/dataset/visual-question-answering-v2-0

  Description: WEBVisual Question Answering (VQA) v2.0 is a dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to answer.

• 7. [1505.00468] VQA: Visual Question Answering www.visualqa.org

  arxiv.org

  Link: https://ar5iv.labs.arxiv.org/html/1505.00468

  Description: WEBAbstract. We propose the task of free-form and open-ended Visual Question Answering (VQA). Given an image and a natural language question about the image, the task is to provide an accurate natural language answer. Mirroring real-world scenarios, such as helping the visually impaired, both the questions and answers are open-ended.

• 8. VQA: Visual Question Answering - arXiv.org

  arxiv.org

  Link: https://arxiv.org/pdf/1505.00468v3.pdf

  Description: WEBwww.visualqa.org Stanislaw Antol 1, Aishwarya Agrawal , Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh Abstract—We propose the task of free-form and open-ended Visual Question Answering (VQA). Given an image and a natural language question about the image, the task is to provide an accurate natural language answer.

• 9. What is Visual Question Answering? - Hugging Face

  huggingface.co

  Link: https://huggingface.co/tasks/visual-question-answering

  Description: WEBVisual Question Answering. Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.

• 10. VQA: Visual Question Answering | IEEE Conference Publication

  ieee.org

  Link: https://ieeexplore.ieee.org/document/7410636

  Description: WEBDec 13, 2015 · We propose the task of free-form and open-ended Visual Question Answering (VQA). Given an image and a natural language question about the image, the task is to provide an accurate natural language answer. Mirroring real-world scenarios, such as helping the visually impaired, both the questions and answers are open-ended. Visual …