- Dual modality prompt learning for visual question|grounded ...🔍
- Boosting Text|VQA via Text|aware Visual Question|answer Generation🔍
- The multi|modal fusion in visual question answering🔍
- An overview of bias reduction methods for Visual Question Answering🔍
- Visual Question Answering🔍
- Faster Image Captioning and VQA Using fastdup🔍
- Multi|modal adaptive gated mechanism for visual question answering🔍
- Multimodal Natural Language Explanation Generation for Visual ...🔍
Introduction to Visual Question Answering
Dual modality prompt learning for visual question-grounded ...
With recent advancements in robotic surgery, notable strides have been made in visual question answering (VQA).
Recent, Rapid Advancement in Visual Question Answering: a Review
Keywords—VQA, visual question answering, review, survey. I. INTRODUCTION. Image understanding has been one of the primary drivers of artificial intelligence ...
Boosting Text-VQA via Text-aware Visual Question-answer Generation
Right: an example of a training image with more than. 5 scene text words, which is typical. Best viewed in color. 1 Introduction. Visual question answering (VQA) ...
The multi-modal fusion in visual question answering
Visual Question Answering (VQA) is a significant cross-disciplinary issue in the fields of computer vision and natural language processing ...
An overview of bias reduction methods for Visual Question Answering
Adversarial methods. Adversarial losses can be used to reduce biases coming from a known factor. For example, in Visual Question Answering, ...
3DVQA: Visual Question Answering for 3D Environments
Figure 1: We introduce VQA in the 3D setting. We take as input a 3D point cloud (center), and construct a dataset of questions and answers (right) using scene- ...
Visual Question Answering | Lecture 63 (Part 3) - YouTube
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Course Materials: ...
Recent, Rapid Advancement in Visual Question Answering: a Review
Keywords—VQA, visual question answering, review, survey. I. INTRODUCTION. Image understanding has been one of the primary drivers of artificial intelligence ...
Faster Image Captioning and VQA Using fastdup - Visual Layer
Visual Question Answering (VQA) is the process of asking a question about the contents of an image, and outputting an answer. VQA uses similar ...
Multi-modal adaptive gated mechanism for visual question answering
Visual Question Answering (VQA) is a multimodal task that uses natural language to ask and answer questions based on image content.
Multimodal Natural Language Explanation Generation for Visual ...
The VQA task involves answering questions about an image, requiring an understanding of the image content and textual information. It is, therefore, an ...
Improving Visual Question Answering by Leveraging Depth and ...
Furthermore, we introduce a new dataset for the task of VQA on RGB-D data, VQA-SUNRGBD. We evaluate our explainability method against Grad-CAM ...
Our Framework transform all information into language space and performs retrieved-based question answering through generative language models. used to answer ...
I. INTRODUCTION. The problem of Visual Question Answering. (VQA) offers a difficult challenge to the fields of computer vision (CV) and natural language.
MobiVQA: Efficient On-Device Visual Question Answering
1 INTRODUCTION. Visual Question Answering or VQA is a task of answering a natural language question that a user can ask about any image. VQA has been widely ...
Overview of ImageCLEF 2018 Medical Domain Visual Question ...
Given medi- cal images accompanied with clinically relevant questions, participating systems were tasked with answering the questions based on the visual image ...
Improving visual question answering for bridge inspection by pre ...
Visual question answering (VQA) is an advanced vision and language task that overcomes the above limitations of image captioning. In this task, ...
A-OKVQA: A Benchmark for Visual Question Answering using World ...
We introduce A-OKVQA, a crowdsourced dataset composed of a diverse set of about 25K questions requiring a broad base of commonsense and world knowledge to ...
A Multi-level Mesh Mutual Attention Model for Visual Question ...
Visual question answering is a complex multimodal task involving images and text, with broad application prospects in human–computer ...
ICDAR 2019 Robust Reading Challenge on Scene Text Visual ...
Overview - ICDAR 2019 Robust Reading Challenge on Scene Text Visual Question Answering ... The report of the competition is now available, download it here.