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Visual Question Answering

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Papers

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Showing 2001–2050 of 2177 papers

TitleStatusHype
What Large Language Models Bring to Text-rich VQA?—0
Improving Users' Mental Model with Attention-directed Counterfactual Edits—0
Improving Visual Question Answering by Referring to Generated Paragraph Captions—0
Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions—0
Improving VQA and its Explanations \\ by Comparing Competing Explanations—0
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions—0
Incorporating External Knowledge to Answer Open-Domain Visual Questions with Dynamic Memory Networks—0
A Restricted Visual Turing Test for Deep Scene and Event Understanding—0
Generic Attention-model Explainability by Weighted Relevance Accumulation—0
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering—0
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding—0
Generative Visual Question Answering—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Generating Rationales in Visual Question Answering—0
InfographicVQA—0
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning—0
Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space—0
Generating Natural Questions from Images for Multimodal Assistants—0
Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention—0
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching—0
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge—0
Generalized Hadamard-Product Fusion Operators for Visual Question Answering—0
Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training—0
Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs—0
Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models—0
A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading—0
Integrating Knowledge and Reasoning in Image Understanding—0
Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Interactive Visual Task Learning for Robots—0
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems—0
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output—0
InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model—0
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering—0
Interpretable Counting for Visual Question Answering—0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning—0
Interpretable Neural Computation for Real-World Compositional Visual Question Answering—0
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Interpretable Visual Question Answering by Reasoning on Dependency Trees—0
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining—0
Interpretable Visual Question Answering via Reasoning Supervision—0
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision—0
Gender and Racial Bias in Visual Question Answering Datasets—0
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks—0
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool—0
Inverse Visual Question Answering with Multi-Level Attentions—0
Investigating Biases in Textual Entailment Datasets—0
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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