Visual Question Answering (VQA)

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 understand the content of an image and answer questions about it in natural language.

Image Source: visualqa.org

Papers

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Showing 601–625 of 2167 papers

Title	Date	Tasks	Status	Score
A Neuro-Symbolic ASP Pipeline for Visual Question Answering	May 16, 2022	Question AnsweringVisual Question Answering	CodeCode Available	5
Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents	Nov 23, 2024	Question AnsweringRAG	CodeCode Available	5
Biomedical Visual Instruction Tuning with Clinician Preference Alignment	Jun 19, 2024	Instruction FollowingVisual Question Answering (VQA)	CodeCode Available	5
Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models	Oct 3, 2023	Image GenerationVisual Question Answering (VQA)	CodeCode Available	5
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization	Dec 20, 2024	Compositional Generalization (AVG)Novel Concepts	CodeCode Available	5
No-Reference Video Quality Assessment Based on Benford’s Law and Perceptual Features	Nov 12, 2021	No-Reference Image Quality AssessmentVideo Quality Assessment	CodeCode Available	5
BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA	Mar 4, 2025	Medical DiagnosisQuestion Answering	CodeCode Available	5
MUTAN: Multimodal Tucker Fusion for Visual Question Answering	May 18, 2017	Visual Question AnsweringVisual Question Answering (VQA)	CodeCode Available	5
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness	Nov 29, 2024	Optical Character Recognition (OCR)Question Answering	CodeCode Available	5
Multiview Contrastive Learning for Completely Blind Video Quality Assessment of User Generated Content	Jul 13, 2022	Contrastive LearningOptical Flow Estimation	CodeCode Available	5
MUREL: Multimodal Relational Reasoning for Visual Question Answering	Feb 25, 2019	Relational ReasoningVisual Question Answering	CodeCode Available	5
Visuo-Linguistic Question Answering (VLQA) Challenge	May 1, 2020	Question AnsweringReading Comprehension	CodeCode Available	5
Multi-Sourced Compositional Generalization in Visual Question Answering	May 29, 2025	Question AnsweringVisual Question Answering	CodeCode Available	5
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models	Jan 28, 2023	Out-of-Distribution GeneralizationQuestion Answering	CodeCode Available	5
Multi-Target Embodied Question Answering	Apr 9, 2019	Embodied Question AnsweringNavigate	CodeCode Available	5
NAAQA: A Neural Architecture for Acoustic Question Answering	Jun 11, 2021	Acoustic Question AnsweringQuestion Answering	CodeCode Available	5
Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering	Sep 23, 2020	Question AnsweringVisual Question Answering	CodeCode Available	5
DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment	Jun 20, 2022	Time Series AnalysisVideo Quality Assessment	CodeCode Available	5
Towards Flexible Evaluation for Generative Visual Question Answering	Aug 1, 2024	DecoderGenerative Visual Question Answering	CodeCode Available	5
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering	Sep 13, 2021	Data AugmentationQuestion Answering	CodeCode Available	5
Multimodal Residual Learning for Visual QA	Jun 5, 2016	Multiple-choiceQuestion Answering	CodeCode Available	5
Multi-Page Document Visual Question Answering using Self-Attention Scoring Mechanism	Apr 29, 2024	document understandingGPU	CodeCode Available	5
Multiscale Byte Language Models -- A Hierarchical Architecture for Causal Million-Length Sequence Modeling	Feb 20, 2025	DecoderGPU	CodeCode Available	5
No-Reference Video Quality Assessment Using Space-Time Chips	Aug 23, 2020	Video Quality AssessmentVisual Question Answering (VQA)	CodeCode Available	5
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following	Jun 4, 2024	Question AnsweringVisual Question Answering	CodeCode Available	5

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All datasets GQA Test2019 VQA v2 test-dev VQA v2 test-std OK-VQA MSVD-QA DocVQA test MSRVTT-QA InfographicVQA GQA test-dev VizWiz 2020 VQA A-OKVQA CLEVR

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	human	Accuracy	89.3	—	Unverified
2	DREAM+Unicoder-VL (MSRA)	Accuracy	76.04	—	Unverified
3	TRRNet (Ensemble)	Accuracy	74.03	—	Unverified
4	MIL-nbgao	Accuracy	73.81	—	Unverified
5	Kakao Brain	Accuracy	73.33	—	Unverified
6	Coarse-to-Fine Reasoning, Single Model	Accuracy	72.14	—	Unverified
7	270	Accuracy	70.23	—	Unverified
8	NSM ensemble (updated)	Accuracy	67.55	—	Unverified
9	VinVL-DPT	Accuracy	64.92	—	Unverified
10	VinVL+L	Accuracy	64.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PaLI	Accuracy	84.3	—	Unverified
2	BEiT-3	Accuracy	84.19	—	Unverified
3	VLMo	Accuracy	82.78	—	Unverified
4	ONE-PEACE	Accuracy	82.6	—	Unverified
5	mPLUG (Huge)	Accuracy	82.43	—	Unverified
6	CuMo-7B	Accuracy	82.2	—	Unverified
7	X2-VLM (large)	Accuracy	81.9	—	Unverified
8	MMU	Accuracy	81.26	—	Unverified
9	Lyrics	Accuracy	81.2	—	Unverified
10	InternVL-C	Accuracy	81.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BEiT-3	overall	84.03	—	Unverified
2	mPLUG-Huge	overall	83.62	—	Unverified
3	ONE-PEACE	overall	82.52	—	Unverified
4	X2-VLM (large)	overall	81.8	—	Unverified
5	VLMo	overall	81.3	—	Unverified
6	SimVLM	overall	80.34	—	Unverified
7	X2-VLM (base)	overall	80.2	—	Unverified
8	VAST	overall	80.19	—	Unverified
9	VALOR	overall	78.62	—	Unverified
10	Prompt Tuning	overall	78.53	—	Unverified