Visual Commonsense Reasoning (VCR) remains a significant yet challenging research
problem in the realm of visual reasoning. A VCR model generally aims at answering a …

Visual Commonsense Reasoning (VCR), deemed as one challenging extension of Visual
Question Answering (VQA), endeavors to pursue a higher-level visual comprehension. VCR …

Given a question about an image, a Visual Commonsense Reasoning (VCR) model needs
to provide not only a correct answer, but also a rationale to justify the answer. It is a …

Abstract Visual Commonsense Reasoning (VCR) predicts an answer with corresponding
rationale, given a question-image input. VCR is a recently introduced visual scene …

Given a question about an image, Visual Commonsense Reasoning (VCR) needs to provide
not only a correct answer, but also a rationale to justify the answer. VCR is a challenging …

When glancing at an image, human can infer what is hidden in the image beyond what is
visually obvious, such as objects' functions, people's intents and mental states. However …

This paper defines a new visual reasoning paradigm by introducing an important factor, ie
transformation. The motivation comes from the fact that most existing visual reasoning tasks …

Answering complex questions about images is an ambitious goal for machine intelligence,
which requires a joint understanding of images, text, and commonsense knowledge, as well …

Visual commonsense reasoning (VCR) task leads to a cognitive level of understanding
between vision and linguistic domains. Three sub-tasks, ie, Q → AQ→ A, QA → R QA→ R …

Visual commonsense reasoning (VCR) is a challenging reasoning task that aims to not only
answer the question based on a given image but also provide a rationale justifying for the …