Integrating deep learning for visual question answering in ...

Using Deep Learning to Answer Visual Questions from Blind People

visual question. The design of an VQA models goes beyond simply merging the two modalities. Previous literature illustrates how is possible to integrate ...

Incorporating Verb Semantic Information in Visual Question ...

Visual Question Answering (VQA) concerns providing answers to Natural Language questions about images. Several deep neural network approaches have been ...

What is Visual Question Answering (VQA) - Activeloop

Visual Question Answering (VQA) is a rapidly evolving field in machine learning that focuses on developing models capable of answering questions about ...

The VQA-Machine: Learning How to Use Existing Vision Algorithms ...

Visual Question Answering (VQA) is an AI-complete task lying at the intersection of computer vision (CV) and natural language processing (NLP). Current VQA ap-.

Cross-Media Learning for Visual Question Answering (VQA)

Because VQA is closely related to the content both in CV and NLP, a natural QA solution is integrating CNN with RNN, which are successfully used in CV and NLP, ...

Visual Question Answering - Indian Statistical Institute Library

In essence, deep learning is a branch of AI. AI can be used for a wide variety of activities, including object recognition, computer vision, machine translation ...

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

By considering the joint probability distribution of features from both images and questions, the model generates answers that are not only ...

Exploring Visual Question Answering (VQA) Datasets - Comet.ml

The successful development of VQA algorithms holds the promise of achieving a milestone in artificial intelligence, where systems can seamlessly ...

Faithful Multimodal Explanation for Visual Question Answering

AI systems' ability to explain their reasoning is critical to their utility and trustworthiness. Deep neural networks have enabled significant progress on many ...

The multi-modal fusion in visual question answering - Europe PMC

Visual Question Answering (VQA) is a significant cross-disciplinary issue in the fields of computer vision and natural language processing that requires a ...

Visual Question Answering: Bridging the Gap between Images and ...

It involves training a machine learning model to understand visual input (images) and interpret human-generated questions, eventually generating ...

Visual Question Answering as a Meta Learning Task

The resulting model is a deep neural network that uses sets of dynamic parameters – also known as fast weights – determined at test time depending on the ...

Deep Learning and Visual Question Answering | by franky

Visual Question Answering is a research area about building a computer system to answer questions presented in an image and a natural language.

Automated construction safety reporting system integrating deep ...

... integrating deep learning-based real-time advanced detection and visual question answering ... visual question answering model, and text ...

Disentangling Reasoning from Vision and Language Understanding

Our neural-symbolic visual question answering (NS-VQA) system first recovers a ... Our model connects to, but also differs from the recent pure deep learning ...

Incorporating External Information for Visual Question Answering

Visual question answering (VQA) has recently emerged as a challenging multi-modal task and has gained popularity. The goal is to answer questions that query ...

Visual Question Answering with Question Representation Update ...

Most recently proposed VQA models are based on image captioning [10, 24, 28]. These methods have been advanced by the great success of deep learning on building ...

Recent, Rapid Advancement in Visual Question Answering: a Review

Integrating MFB and co-attention learning, this architecture is compared ... [9] Avi Singh, “Deep learning for visual question answering,” Facebook. AI ...

Frontiers - Altmetric

Integrating Non-monotonic Logical Reasoning and Inductive Learning With Deep Learning for Explainable Visual Question Answering. Published in.

Image to Label to Answer: An Efficient Framework for Enhanced ...

Medical Visual Question Answering (Med-VQA) faces significant limitations in application development due to sparse and challenging data acquisition.