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 526–550 of 2167 papers

Title	Date	Tasks	Status	Hype
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization	Oct 7, 2016	General ClassificationImage Attribution	CodeCode Available	1
Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer	Feb 18, 2021	DecoderDocument Image Classification	CodeCode Available	1
GRIT: General Robust Image Task Benchmark	Apr 28, 2022	Instance SegmentationKeypoint Detection	CodeCode Available	1
Graph Optimal Transport for Cross-Domain Alignment	Jun 26, 2020	Graph MatchingImage Captioning	CodeCode Available	1
HallE-Control: Controlling Object Hallucination in Large Multimodal Models	Oct 3, 2023	AttributeDecoder	CodeCode Available	1
EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering	Dec 19, 2023	ObjectObject Counting	CodeCode Available	1
Break It Down: A Question Understanding Benchmark	Jan 31, 2020	Open-Domain Question AnsweringQuestion Answering	CodeCode Available	1
Hierarchical Conditional Relation Networks for Video Question Answering	Feb 25, 2020	Audio-Visual Question Answering (AVQA)Question Answering	CodeCode Available	1
Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator	Dec 11, 2023	Image CaptioningQuestion Answering	CodeCode Available	1
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers	Mar 29, 2021	DecoderImage Segmentation	CodeCode Available	1
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution	May 27, 2025	8kAvg	CodeCode Available	1
HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning	Mar 19, 2024	Reinforcement Learning (RL)Visual Grounding	CodeCode Available	1
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering	Apr 22, 2022	Question AnsweringVisual Question Answering	CodeCode Available	1
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA	Feb 24, 2024	3D Question Answering (3D-QA)Question Answering	CodeCode Available	1
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages	Jan 27, 2022	Cross-Modal RetrievalFew-Shot Learning	CodeCode Available	1
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents	Dec 10, 2024	Cross-Modal RetrievalImage Classification	CodeCode Available	1
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training	Nov 23, 2023	Multimodal ReasoningScience Question Answering	CodeCode Available	1
Dual-Key Multimodal Backdoors for Visual Question Answering	Dec 14, 2021	Question AnsweringVisual Question Answering	CodeCode Available	1
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
Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts	Apr 12, 2024	Image CaptioningQuestion Answering	CodeCode Available	1
eP-ALM: Efficient Perceptual Augmentation of Language Models	Mar 20, 2023	In-Context LearningVisual Question Answering (VQA)	CodeCode Available	1
FaceBench: A Multi-View Multi-Level Facial Attribute VQA Dataset for Benchmarking Face Perception MLLMs	Mar 27, 2025	AttributeBenchmarking	CodeCode Available	1
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks	Dec 21, 2023	Image RetrievalImage-to-Text Retrieval	CodeCode Available	1
Introspective Distillation for Robust Question Answering	Nov 1, 2021	counterfactualInductive Bias	CodeCode Available	1
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering	Sep 19, 2024	HallucinationHallucination Evaluation	CodeCode Available	1

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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	InternVL-C	Accuracy	81.2	—	Unverified
10	Lyrics	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