Datasets built on top of VQA

Visual question answering with multimodal transformers - Medium

For the VQA model training, we use the full DAtaset for QUestion Answering on Real-world images (DAQUAR) dataset, which contains approximately ...

All About VQA: Visual Question Answering — Part 2: Benchmarks ...

VQA Benchmark datasets help standardize the evaluation and performance of various LMM models. Each dataset is unique and provides a different ...

A Survey On Visual Question Answering - IJCRT.org

They built their dataset on top of the NYU-Depth V2 dataset. After ... Similarly, many such VQA datasets published in recent times are ...

1 Million Full-Sentences Visual Question Answering (FSVQA)

... VQA dataset and captions in the MS COCO dataset. This poses many ... top of which we invite the research community to build further improvements.

MobiVQA: Efficient On-Device Visual Question Answering

Compared to region-based LXMERT VQA model on the VQAv2 dataset,. MobiVQA reduces the latency by 16x on the mobile TX2 board and over 121x on the mobile phone ...

Counting in Visual Question Answering: Methods, Datasets, and ...

Visual Question Answering (VQA) is a language-based method for analyzing images, which is highly helpful in assisting people with visual ...

(PDF) VQA and Visual Reasoning: An Overview of Recent Datasets ...

... based dataset, ~7% on VQA-Implications data... ... We introduce a semantic metric based on AAS and modify top VQA solvers to support multiple plausible answers ...

Multi-Modal Answer Validation for Knowledge-Based VQA - AAAI

Due to the difficulty of collecting such datasets, knowledge-based VQA datasets ... Bottom-Up and Top-Down. Attention for Image Captioning and VQA. In CVPR ...

OCR-VQA: Visual Question Answering by Reading Text in Images

conventional VQA datasets. IV. APPROACH. In this section, we ... Note that blocks are indexed using numbers 1 to 5 based on their top-left y-coordinates.

Top Visual Question Answering (VQA) Models - Roboflow

Visual Question Answering (VQA) is a category of vision models to which you can ask a question about a model and retrieve a response. Discover popular VQA ...

Visual Question Answering - Stanford University

... VQA v2 dataset. We wrote a disk-based data loader to read a batch of data directly from disk. However, this made the overall algorithm extremely slow and ...

Out of the Box: Reasoning with Graph Convolution Nets for Factual ...

methods were tested on standard VQA datasets ... The knowledge base consists of 193,449 facts, which were constructed by extracting top visual concepts for all ...

Easy Visual Question Answering - victorzhou.com

Impressive, right? Unfortunately, this level of VQA is outside of the scope of this blog post. We'll instead be using a custom dataset created ...

29 dataset results for Visual Question Answering - Papers With Code

TextVQA is a dataset to benchmark visual reasoning based on text in images. TextVQA requires models to read and reason about text in images to answer questions ...

Q: How To Specialize Large Vision-Language Models to Data ...

Datasets for specialized tasks such as knowledge-based VQA or VQA in non natural-image domains are orders of magnitude smaller than those for general-purpose ...

Visual Question Answering On Image Sets | PDF | Attention | Top ...

To enable research into these problems, we built two datasets for ISVQA - one for indoor scenes and the other for outdoor scenes. The indoor scenes dataset

LinWeizheDragon/Retrieval-Augmented-Visual-Question-Answering

Packed pre-extracted data for OK-VQA (including OCR features, VinVL object detection features, Oscar captioning features) · FLMR with the mapping network ...

MIMIC-Ext-MIMIC-CXR-VQA: A Complex, Diverse, And Large-Scale ...

We introduce MIMIC-Ext-MIMIC-CXR-VQA, a complex, diverse, and large-scale dataset designed for Visual Question Answering (VQA) tasks within ...

A-OKVQA: A Benchmark for Visual Question Answering using World ...

Knowledge-based VQA datasets. Several previous works have studied the ... L.: Bottom-up and top-down attention for image captioning and visual question.

Visual Question Answering in Radiology (VQA-RAD) - OSF

We introduce VQA-RAD, the first manually constructed dataset where clinicians asked naturally occurring questions of radiology images and provided reference ...