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Visual Question Answering

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Papers

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Showing 701–750 of 2177 papers

TitleStatusHype
An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models—0
Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent—0
InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model—0
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models—0
Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation—0
Annotation Methodologies for Vision and Language Dataset Creation—0
Advancing Multimodal Medical Capabilities of Gemini—0
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs—0
Designing a Robust Radiology Report Generation System—0
Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs—0
Achieving Human Parity on Visual Question Answering—0
Integrating Knowledge and Reasoning in Image Understanding—0
Interpretable Visual Question Answering via Reasoning Supervision—0
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis—0
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT—0
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching—0
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs—0
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning—0
An experimental study of the vision-bottleneck in VQA—0
An Evaluation of GPT-4V and Gemini in Online VQA—0
Deep learning evaluation using deep linguistic processing—0
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning—0
Deep Exemplar Networks for VQA and VQG—0
Deep Bayesian Active Learning for Multiple Correct Outputs—0
BESTMVQA: A Benchmark Evaluation System for Medical Visual Question Answering—0
Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space—0
Deep Attention Neural Tensor Network for Visual Question Answering—0
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering—0
Benchmarking Vision Language Models for Cultural Understanding—0
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering—0
Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models—0
InfographicVQA—0
An Empirical Study on the Language Modal in Visual Question Answering—0
Debating for Better Reasoning: An Unsupervised Multimodal Approach—0
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games—0
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer—0
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation—0
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond—0
Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat—0
Accounting for Focus Ambiguity in Visual Questions—0
Data Metabolism: An Efficient Data Design Schema For Vision Language Model—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
Data Augmentation for Visual Question Answering—0
DARE: Diverse Visual Question Answering with Robustness Evaluation—0
@Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology—0
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning—0
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering—0
Cycle-Consistency for Robust Visual Question Answering—0
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets—0
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding—0
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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