Abstract Visual Question Answering (VQA) is the task of answering questions about an
image. Some VQA models often exploit unimodal biases to provide the correct answer …

Abstract Knowledge-based Visual Question Answering (KVQA) requires external knowledge
beyond the visible content to answer questions about an image. This ability is challenging …

Visual Question Answering (VQA) is a task to answer natural language questions tied to the
content of visual images. Most recent VQA approaches usually apply attention mechanism to …

A simultaneous understanding of questions and images is crucial in Visual Question
Answering (VQA). While the existing models have achieved satisfactory performance by …

Visual Question Answering (VQA) is a challenge task that combines natural language
processing and computer vision techniques and gradually becomes a benchmark test task …

Owing to the rich emerging multimedia applications and services in the past decade, super
large amount of multimedia data has been produced for the purpose of advanced research …

Question and Answering (QA) system is a problem in natural language processing that can
be used as the system of dialogs and chatbots. It can be used as a customer service that can …

Multimodal reasoning is a challenging task that requires models to reason across multiple
modalities to answer questions. Existing approaches have made progress by incorporating …

The task of Visual Question Answering (VQA) is to answer a natural language question tied
to the content of a visual image. Most existing VQA models either apply attention mechanism …

Visual reasoning is a special kind of visual question answering, which is essentially multi-
step and compositional, and also requires intensive text-visual interaction. The most …