A resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets. [IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

Visual Question Answering in the Medical Domain VQA-Med 2019

CloudCV Visual Question Answering Demo

[CVPR2021] SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events

[IPCAI'24 Best Paper] Advancing Surgical VQA with Scene Graph Knowledge

SciGraphQA: Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Video Question Answering | Video QA | VQA

Gamified Adversarial Prompting (GAP): Crowdsourcing AI-weakness-targeting data through gamification. Boost model performance with community-driven, strategic data collection

The Easy Visual Question Answering dataset.

Visual Question Generation reading list

Counterfactual Reasoning VQA Dataset

VQA-Med 2021

This repository contains the data and code of the paper titled "IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models"

CLEVR3D Dataset: Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation

A Light weight deep learning model with with a web application to answer image-based questions with a non-generative approach for the VizWiz grand challenge 2023 by carefully curating the answer vocabulary and adding linear layer on top of Open AI's CLIP model as image and text encoder

MAVERICS (Manually-vAlidated Vq^2a Examples fRom Image-Caption datasetS) is a suite of test-only benchmarks for visual question answering (VQA).

Medical Report Generation And VQA (Adapting XrayGPT to Any Modality)

[ICISN 2025] An Automated Pipeline for Constructing a Vietnamese VQA-NLE Dataset

[Arxiv 2509.14199] DENSE VIDEO UNDERSTANDING WITH GATED RESIDUAL TOKENIZATION