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Visual Question Answering

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Papers

Showing 251300 of 2177 papers

TitleStatusHype
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairsCode1
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text InjectionCode1
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched PromptsCode1
Localized Questions in Medical Visual Question AnsweringCode1
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question AnsweringCode1
Are Bias Mitigation Techniques for Deep Learning Effective?Code1
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of PneumothoraxCode1
Language-Informed Visual Concept LearningCode1
Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-AttentionCode1
Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMsCode1
Just Ask: Learning to Answer Questions from Millions of Narrated VideosCode1
Beyond Embeddings: The Promise of Visual Table in Visual ReasoningCode1
JDocQA: Japanese Document Question Answering Dataset for Generative Language ModelsCode1
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge AlignmentCode1
Advancing High Resolution Vision-Language Models in BiomedicineCode1
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation EmbeddingCode1
Instruction-Guided Visual MaskingCode1
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question AnsweringCode1
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksCode1
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language TuningCode1
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4Code1
Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical ReasoningCode1
BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal ModelsCode1
Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction TuningCode1
Bayesian Attention ModulesCode1
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question AnsweringCode1
Kosmos-2: Grounding Multimodal Large Language Models to the WorldCode1
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQACode1
Improving Selective Visual Question Answering by Learning from Your PeersCode1
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design PatentsCode1
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language ModelsCode1
In Defense of Grid Features for Visual Question AnsweringCode1
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language ReasoningCode1
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual DependencyCode1
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and LanguagesCode1
Visual Grounding Methods for VQA are Working for the Wrong Reasons!Code1
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language ModelsCode1
INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language ModelCode1
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationCode1
A Dataset and Baselines for Visual Question Answering on ArtCode1
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language ModelsCode1
CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic SurgeryCode1
An Approach to Solving the Abstraction and Reasoning Corpus (ARC) ChallengeCode1
COBRA: Contrastive Bi-Modal Representation AlgorithmCode1
I2I: Initializing Adapters with Improvised KnowledgeCode1
Combo of Thinking and Observing for Outside-Knowledge VQACode1
Contrast and Classify: Training Robust VQA ModelsCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question AnsweringCode1
I Can't Believe There's No Images! Learning Visual Tasks Using only Language SupervisionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24Unverified
2Qwen2-VL-72BGPT-4 score74Unverified
3InternVL2.5-78BGPT-4 score72.3Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2Unverified
5Lyra-ProGPT-4 score71.4Unverified
6GLM-4V-PlusGPT-4 score71.1Unverified
7Phantom-7BGPT-4 score70.8Unverified
8InternVL2.5-38BGPT-4 score68.8Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6Unverified
10Baichuan-Omni (7B)GPT-4 score65.4Unverified