SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–700 of 2167 papers

TitleStatusHype
SNAP: A Benchmark for Testing the Effects of Capture Conditions on Fundamental Vision TasksCode0
CP-LLM: Context and Pixel Aware Large Language Model for Video Quality Assessment—0
Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning—0
Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets—0
Visual Question Answering on Multiple Remote Sensing Image Modalities—0
TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving—0
PlanGPT-VL: Enhancing Urban Planning with Domain-Specific Vision-Language Models—0
Debating for Better Reasoning: An Unsupervised Multimodal Approach—0
Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models—0
TinyRS-R1: Compact Multimodal Language Model for Remote Sensing—0
RVTBench: A Benchmark for Visual Reasoning TasksCode0
MedSG-Bench: A Benchmark for Medical Image Sequences Grounding—0
HumaniBench: A Human-Centric Framework for Large Multimodal Models EvaluationCode0
Semantically-Aware Game Image Quality Assessment—0
TCC-Bench: Benchmarking the Traditional Chinese Culture Understanding Capabilities of MLLMsCode0
Enhancing Multi-Image Question Answering via Submodular Subset Selection—0
Variational Visual Question Answering—0
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval—0
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving—0
R^3-VQA: "Read the Room" by Video Social Reasoning—0
DiffVQA: Video Quality Assessment Using Diffusion Feature Extractor—0
Breaking Annotation Barriers: Generalized Video Quality Assessment via Ranking-based Self-SupervisionCode0
Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks—0
AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation—0
AdCare-VLM: Leveraging Large Vision Language Model (LVLM) to Monitor Long-Term Medication Adherence and CareCode0
SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models—0
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense EvaluationCode0
Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task—0
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
DVLTA-VQA: Decoupled Vision-Language Modeling with Text-Guided Adaptation for Blind Video Quality Assessment—0
PuzzleBench: A Fully Dynamic Evaluation Framework for Large Multimodal Models on Puzzle Solving—0
QAVA: Query-Agnostic Visual Attack to Large Vision-Language ModelsCode0
MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework—0
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks—0
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding—0
FVQ: A Large-Scale Dataset and A LMM-based Method for Face Video Quality AssessmentCode0
PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks—0
TokenFocus-VQA: Enhancing Text-to-Image Alignment with Position-Aware Focus and Multi-Perspective Aggregations on LVLMs—0
UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training—0
QIRL: Boosting Visual Question Answering via Optimized Question-Image Relation Learning—0
Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion—0
SocialGesture: Delving into Multi-person Gesture Understanding—0
Reasoning LLMs for User-Aware Multimodal Conversational Agents—0
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving—0
KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean LanguageCode0
How Well Can Vison-Language Models Understand Humans' Intention? An Open-ended Theory of Mind Question Evaluation Benchmark—0
Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields—0
Show:102550
← PrevPage 14 of 44Next →
All datasetsGQA Test2019VQA v2 test-devVQA v2 test-stdOK-VQAMSVD-QADocVQA testMSRVTT-QAInfographicVQAGQA test-devVizWiz 2020 VQAA-OKVQACLEVR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1humanAccuracy89.3—Unverified
2DREAM+Unicoder-VL (MSRA)Accuracy76.04—Unverified
3TRRNet (Ensemble)Accuracy74.03—Unverified
4MIL-nbgaoAccuracy73.81—Unverified
5Kakao BrainAccuracy73.33—Unverified
6Coarse-to-Fine Reasoning, Single ModelAccuracy72.14—Unverified
7270Accuracy70.23—Unverified
8NSM ensemble (updated)Accuracy67.55—Unverified
9VinVL-DPTAccuracy64.92—Unverified
10VinVL+LAccuracy64.85—Unverified
#ModelMetricClaimedVerifiedStatus
1PaLIAccuracy84.3—Unverified
2BEiT-3Accuracy84.19—Unverified
3VLMoAccuracy82.78—Unverified
4ONE-PEACEAccuracy82.6—Unverified
5mPLUG (Huge)Accuracy82.43—Unverified
6CuMo-7BAccuracy82.2—Unverified
7X2-VLM (large)Accuracy81.9—Unverified
8MMUAccuracy81.26—Unverified
9LyricsAccuracy81.2—Unverified
10InternVL-CAccuracy81.2—Unverified
#ModelMetricClaimedVerifiedStatus
1BEiT-3overall84.03—Unverified
2mPLUG-Hugeoverall83.62—Unverified
3ONE-PEACEoverall82.52—Unverified
4X2-VLM (large)overall81.8—Unverified
5VLMooverall81.3—Unverified
6SimVLMoverall80.34—Unverified
7X2-VLM (base)overall80.2—Unverified
8VASToverall80.19—Unverified
9VALORoverall78.62—Unverified
10Prompt Tuningoverall78.53—Unverified