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Adversarial VQA is a benchmark built with human-and-model-in-the-loop, to test robustness of VQA models.
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Adversarial VQA
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2025-12-31 15:48:06
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Adversarial VQA Adversarial VQA Home People Download Evaluation What is Adversarial VQA? Adversarial VQA is a new VQA benchmark that is collected with Human-And-Model-in-the-Loop for evaluating the robustness of state-of-the-art VQA systems. 2 datasets: AdVQA (in-domain) and AVQA (out-of-domain) Collected in single round or multiple rounds 81,253 images (COCO/Conceptual Captions 3M/Fakeddit/VCR) 1.9 human-verified adversarial questions on average per image 10 ground truth human-written answers per verified question Dataset Details on downloading the latest dataset may be found on the download webpage . August 2021: Full release (v1.0) AdVQA (In-domain) Collected in single round 41,807 COCO images (only for val/test) 46,807 questions 468,070 human-written answers AVQA (Out-of-domain) Collected with 3 rounds 40,637 images from Conceptual Captions/ Fakeddit/VCR (for train/val/tes...
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