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Visual Question Answering

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Papers

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Showing 2051–2100 of 2177 papers

TitleStatusHype
Gemini Pro Defeated by GPT-4V: Evidence from Education—0
A Picture May Be Worth a Hundred Words for Visual Question Answering—0
A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Models—0
UNITER: Learning UNiversal Image-TExt Representations—0
ISAAQ -- Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention—0
ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention—0
Is GPT-3 all you need for Visual Question Answering in Cultural Heritage?—0
AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making—0
Iterated learning for emergent systematicity in VQA—0
It Takes Two to Tango: Towards Theory of AI's Mind—0
iVQA: Inverse Visual Question Answering—0
Jaeger: A Concatenation-Based Multi-Transformer VQA Model—0
GEMeX-ThinkVG: Towards Thinking with Visual Grounding in Medical VQA via Reinforcement Learning—0
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis—0
GC-KBVQA: A New Four-Stage Framework for Enhancing Knowledge Based Visual Question Answering Performance—0
Gamified crowd-sourcing of high-quality data for visual fine-tuning—0
JEEM: Vision-Language Understanding in Four Arabic Dialects—0
Un jeu de données pour répondre à des questions visuelles à propos d’entités nommées en utilisant des bases de connaissances (ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities)—0
Joint learning of object graph and relation graph for visual question answering—0
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention—0
Zero-shot Action Localization via the Confidence of Large Vision-Language Models—0
FVQA: Fact-based Visual Question Answering—0
JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems—0
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering—0
Unleashing the Potential of Large Language Model: Zero-shot VQA for Flood Disaster Scenario—0
`Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks—0
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration—0
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering—0
Kernel Pooling for Convolutional Neural Networks—0
Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge—0
Generating and Evaluating Explanations of Attended and Error-Inducing Input Regions for VQA Models—0
Knowing Where to Look? Analysis on Attention of Visual Question Answering System—0
Unshuffling Data for Improved Generalization—0
Knowledge Acquisition for Visual Question Answering via Iterative Querying—0
Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings—0
Knowledge-Based Counterfactual Queries for Visual Question Answering—0
Knowledge-Based Visual Question Answering in Videos—0
Knowledge Condensation and Reasoning for Knowledge-based VQA—0
Knowledge Detection by Relevant Question and Image Attributes in Visual Question Answering—0
Unshuffling Data for Improved Generalization in Visual Question Answering—0
Fusion of Detected Objects in Text for Visual Question Answering—0
FunBench: Benchmarking Fundus Reading Skills of MLLMs—0
Answer-Type Prediction for Visual Question Answering—0
KOSMOS-2.5: A Multimodal Literate Model—0
From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics—0
Unsupervised Keyword Extraction for Full-sentence VQA—0
Unveiling Cross Modality Bias in Visual Question Answering: A Causal View with Possible Worlds VQA—0
KVQA: Knowledge-Aware Visual Question Answering—0
From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason—0
From Shallow to Deep: Compositional Reasoning over Graphs for Visual Question Answering—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