VCR (Visual Commonsense Reasoning)

Introduced by Zellers et al. in From Recognition to Cognition: Visual Commonsense Reasoning

Visual Commonsense Reasoning (VCR) is a large-scale dataset for cognition-level visual understanding. Given a challenging question about an image, machines need to present two sub-tasks: answer correctly and provide a rationale justifying its answer. The VCR dataset contains over 212K (training), 26K (validation) and 25K (testing) questions, answers and rationales derived from 110K movie scenes.

Source: Visual Commonsense R-CNN


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