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Visual Question Answering

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Showing 1251–1300 of 2177 papers

TitleStatusHype
Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning—0
Small Language Model Meets with Reinforced Vision Vocabulary—0
Free Form Medical Visual Question Answering in Radiology—0
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities—0
COCO is "ALL'' You Need for Visual Instruction Fine-tuning—0
Uncovering the Full Potential of Visual Grounding Methods in VQACode0
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining—0
Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language ModelCode0
Hallucination Benchmark in Medical Visual Question AnsweringCode0
GRAM: Global Reasoning for Multi-Page VQA—0
ArtQuest: Countering Hidden Language Biases in ArtVQACode0
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment—0
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers—0
CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering—0
Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles—0
Mask4Align: Aligned Entity Prompting with Color Masks for Multi-Entity Localization Problems—0
Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA—0
MIVC: Multiple Instance Visual Component for Visual-Language Models—0
Gemini Pro Defeated by GPT-4V: Evidence from Education—0
Detection-based Intermediate Supervision for Visual Question Answering—0
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications—0
Towards a Unified Multimodal Reasoning FrameworkCode0
Reducing Hallucinations: Enhancing VQA for Flood Disaster Damage Assessment with Visual Contexts—0
Object-aware Adaptive-Positivity Learning for Audio-Visual Question AnsweringCode0
Object Attribute Matters in Visual Question AnsweringCode0
Interactive Visual Task Learning for Robots—0
Multi-Clue Reasoning with Memory Augmentation for Knowledge-based Visual Question Answering—0
VQA4CIR: Boosting Composed Image Retrieval with Visual Question AnsweringCode0
OsmLocator: locating overlapping scatter marks with a non-training generative perspectiveCode0
CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update—0
Silkie: Preference Distillation for Large Visual Language Models—0
p-Laplacian Adaptation for Generative Pre-trained Vision-Language ModelsCode0
An Evaluation of GPT-4V and Gemini in Online VQA—0
Advancing Surgical VQA with Scene Graph Knowledge—0
BESTMVQA: A Benchmark Evaluation System for Medical Visual Question Answering—0
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment—0
Image Content Generation with Causal ReasoningCode0
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models—0
CLAMP: Contrastive LAnguage Model Prompt-tuning—0
MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation—0
Unleashing the Potential of Large Language Model: Zero-shot VQA for Flood Disaster Scenario—0
Merlin:Empowering Multimodal LLMs with Foresight Minds—0
Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering—0
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback—0
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation—0
Fully Authentic Visual Question Answering Dataset from Online CommunitiesCode0
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models—0
ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsCode0
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask QuestionsCode0
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsCode0
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All datasetsMM-VetViP-BenchVQA v2 test-devBenchLMMMMBenchV*benchVQA v2 valMSRVTT-QAVQA v2 test-stdMMHal-BenchMSVD-QAPlotQA-D1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24—Unverified
2Qwen2-VL-72BGPT-4 score74—Unverified
3InternVL2.5-78BGPT-4 score72.3—Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2—Unverified
5Lyra-ProGPT-4 score71.4—Unverified
6GLM-4V-PlusGPT-4 score71.1—Unverified
7Phantom-7BGPT-4 score70.8—Unverified
8InternVL2.5-38BGPT-4 score68.8—Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6—Unverified
10Baichuan-Omni (7B)GPT-4 score65.4—Unverified