3 accepted papers
Video Question-Answer-Distractors (QADs) show promising values for assessing the performance of systems in perceiving and comprehending multimedia content. Given the significant cost and labor demands of manual annotation, existing large-scale Video QADs benchmarks are typically generated automatica…
Multiple-choice visual question answering (MC VQA) requires an answer picked from a list of distractors, based on a question and an image. This research has attracted wide interest from the fields of visual question answering, visual question generation, and visual distractor generation. However, th…
Multiple-choice visual question answering (VQA) is to automatically choose a correct answer from a set of choices after reading an image. Existing efforts have been devoted to a separate generation of an image-related question, a correct answer, or challenge distractors. By contrast, we turn to a ho…