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 301–325 of 2167 papers

Title	Date	Tasks	Status	Hype	Score
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents	Dec 10, 2024	Cross-Modal RetrievalImage Classification	CodeCode Available	1	5
Improving Selective Visual Question Answering by Learning from Your Peers	Jun 14, 2023	Question AnsweringVisual Question Answering	CodeCode Available	1	5
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering	Jul 26, 2022	Causal InferenceQuestion Answering	CodeCode Available	1	5
Debiased Visual Question Answering from Feature and Sample Perspectives	Dec 1, 2021	Bias DetectionQuestion Answering	CodeCode Available	1	5
Debiasing Multimodal Models via Causal Information Minimization	Nov 28, 2023	Visual Question Answering (VQA)	CodeCode Available	1	5
Declaration-based Prompt Tuning for Visual Question Answering	May 5, 2022	Image-text matchingLanguage Modeling	CodeCode Available	1	5
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning	Oct 25, 2021	Arithmetic ReasoningMathematical Question Answering	CodeCode Available	1	5
Change Detection Meets Visual Question Answering	Dec 12, 2021	Answer GenerationChange Detection	CodeCode Available	1	5
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages	Jan 27, 2022	Cross-Modal RetrievalFew-Shot Learning	CodeCode Available	1	5
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder	Jun 28, 2025	Image SegmentationLarge Language Model	CodeCode Available	1	5
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering	Apr 22, 2022	Question AnsweringVisual Question Answering	CodeCode Available	1	5
Detecting Hate Speech in Multi-modal Memes	Dec 29, 2020	Binary ClassificationHate Speech Detection	CodeCode Available	1	5
Detecting and Preventing Hallucinations in Large Vision Language Models	Aug 11, 2023	16kHallucination	CodeCode Available	1	5
Check It Again: Progressive Visual Question Answering via Visual Entailment	Jun 8, 2021	Question AnsweringVisual Entailment	CodeCode Available	1	5
Check It Again:Progressive Visual Question Answering via Visual Entailment	Aug 1, 2021	Question AnsweringVisual Entailment	CodeCode Available	1	5
ChipQA: No-Reference Video Quality Prediction via Space-Time Chips	Sep 17, 2021	Video Quality AssessmentVisual Question Answering (VQA)	CodeCode Available	1	5
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding	Aug 5, 2022	Image RetrievalQuestion Answering	CodeCode Available	1	5
DeVLBert: Learning Deconfounded Visio-Linguistic Representations	Aug 16, 2020	Image RetrievalQuestion Answering	CodeCode Available	1	5
Cross-Modality Relevance for Reasoning on Language and Vision	May 12, 2020	Question AnsweringVisual Question Answering	CodeCode Available	1	5
Distilled Dual-Encoder Model for Vision-Language Understanding	Dec 16, 2021	Image to textmodel	CodeCode Available	1	5
Classification-Regression for Chart Comprehension	Nov 29, 2021	Chart Question AnsweringClassification	CodeCode Available	1	5
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images	Oct 28, 2023	Decision MakingMedical Visual Question Answering	CodeCode Available	1	5
I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision	Nov 17, 2022	Image CaptioningQuestion Answering	CodeCode Available	1	5
Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation	Dec 22, 2021	Common Sense ReasoningQuestion Answering	CodeCode Available	1	5
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models	Mar 23, 2024	Common Sense ReasoningIn-Context Learning	CodeCode Available	1	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