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What is Visual Question Answering


What is Visual Question Answering? - Hugging Face

Visual question answering models can be used to retrieve images with specific characteristics. For example, the user can ask "Is there a dog?" to find all ...

Visual Question Answering (VQA) - Papers With Code

Visual Question Answering (VQA)** is a task in computer vision that involves answering questions about an image. The goal of VQA is to teach machines to ...

VQA: Visual Question Answering

VQA is a new dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to ...

Visual question answering: Datasets, algorithms, and future ...

Visual Question Answering (VQA) is a computer vision task where a system is given a text-based question about an image, and it must infer the answer.

What is Visual Question Answering (VQA)? - Roboflow Blog

VQA is like training the computer to not only see the visual elements but also to understand and speak about them when prompted with questions.

Introduction to Visual Question Answering - Paperspace Blog

This article will explore the problem of visual question answering, different approaches to solve it, associated challenges, datasets, and evaluation methods.

Visual Question Answering — A Deep Learning Classification Case ...

Visual Question Answering (VQA) allows people to ask natural language open-ended, multiple-choice, and common sense questions about the ...

[2310.20159] Language Guided Visual Question Answering - arXiv

Title:Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts ... Abstract:Visual ...

VQA: Visual Question Answering | IEEE Conference Publication

We propose the task of free-form and open-ended Visual Question Answering (VQA). Given an image and a natural language question about the image,

Visual Question Answering Dataset - Papers With Code

Visual Question Answering (VQA) is a dataset containing open-ended questions about images. These questions require an understanding of vision, language and ...

Top Visual Question Answering (VQA) Models - Roboflow

Top Visual Question Answering (VQA) Models · PaliGemma · GPT-4o · LLaVA-1.5 · FastSAM · CogVLM · QwenVL · BakLLaVA · GPT-4 with Vision. GPT-4 ...

Visual Question Answering - Transformers - Hugging Face

Visual Question Answering (VQA) is the task of answering open-ended questions based on an image. The input to models supporting this task is typically a ...

Visual question answering on diverse visually-rich documents

Document visual question answering” can understand a scanned document image “as humans see it” and generate answers to questions about its ...

Visual question answering: Which investigated applications?

Visual Question Answering (VQA) is at present one of the most interesting joint applications of Artificial Intelligence (AI) to Computer Vision (CV) and Natural ...

Understanding Visual Question Answering (VQA) in 2025 - viso.ai

A system capable of answering questions related to an image. It takes an image and a text-based question as inputs and generates the answer as output.

Generalizing Visual Question Answering from Synthetic to Human ...

CoQAH utilizes a sequence of QA interactions between a large language model and a VQA model trained on synthetic data to reason and derive logical answers for ...

Debiased Visual Question Answering from Feature and Sample ...

Abstract. Visual question answering (VQA) is designed to examine the visual-textual reasoning ability of an intelligent agent. However, recent observations show ...

Visual Question Answering: From Theory to Application - SpringerLink

Overview · Provides the first comprehensive survey of and handbook on visual question answering (VQA) · Is self-contained and reader-friendly: ranging from ...

Visual Question Answering - Computer Vision Explorer

Visual Question Answering (VQA) is the task of generating a answer in response to a natural language question about the contents of an image.

Visual Question Answering (VQA) by Devi Parikh - YouTube

Wouldn’t it be nice if machines could understand content in images and communicate this understanding as effectively as humans?