The VQA Challenge Winners and Honorable Mentions were revealed at the VQA Challenge Workshop
where they were awarded GPUs sponsored by NVIDIA!
VQA is a new dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to answer.
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Details on downloading the latest dataset may be found on the download webpage.
October 2015: Full release (v1.0)
July 2015: Beta v0.9 release
June 2015: Beta v0.1 release
Papers reporting results on the VQA dataset should --
1) Report test-standard accuracies, which can be calculated using either of the non-test-dev phases, i.e., "test2015" or "Challenge test2015" on the following links: [oe-real | oe-abstract | mc-real | mc-abstract].
2) Compare their test-standard accuracies with those on the corresponding test2015 leaderboards [oe-real-leaderboard | oe-abstract-leaderboard | mc-real-leaderboard | mc-abstract-leaderboard].
For more details, please see the challenge page.