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Visual Question Answering

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Papers

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Showing 1351–1400 of 2177 papers

TitleStatusHype
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints—0
On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints—0
Visual Entailment: A Novel Task for Fine-Grained Image Understanding—0
On the Cognition of Visual Question Answering Models and Human Intelligence: A Comparative Study—0
On the Effects of Video Grounding on Language Models—0
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering—0
On the Flip Side: Identifying Counterexamples in Visual Question Answering—0
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering—0
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering—0
On the Limitations of Vision-Language Models in Understanding Image Transforms—0
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications—0
On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering—0
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law—0
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering—0
Debating for Better Reasoning: An Unsupervised Multimodal Approach—0
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer—0
Visual Entailment Task for Visually-Grounded Language Learning—0
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation—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
Visual Explanations from Hadamard Product in Multimodal Deep Networks—0
Aligned Dual Channel Graph Convolutional Network for Visual Question Answering—0
Optimizing Explanations by Network Canonization and Hyperparameter Search—0
Optimizing Visual Question Answering Models for Driving: Bridging the Gap Between Human and Machine Attention Patterns—0
Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation—0
Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models—0
ORD: Object Relationship Discovery for Visual Dialogue Generation—0
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation—0
Visual Graph Question Answering with ASP and LLMs for Language Parsing—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
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering—0
Visual Grounding Strategies for Text-Only Natural Language Processing—0
Data Augmentation for Visual Question Answering—0
Overcoming Language Bias in Remote Sensing Visual Question Answering via Adversarial Training—0
Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation—0
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization—0
Visual Hallucination: Definition, Quantification, and Prescriptive Remediations—0
DARE: Diverse Visual Question Answering with Robustness Evaluation—0
Overview of TREC 2024 Medical Video Question Answering (MedVidQA) Track—0
OVQA: A Clinically Generated Visual Question Answering Dataset—0
OWLViz: An Open-World Benchmark for Visual Question Answering—0
PaLI: A Jointly-Scaled Multilingual Language-Image Model—0
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning—0
PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter—0
Cycle-Consistency for Robust Visual Question Answering—0
PAM: Understanding Product Images in Cross Product Category Attribute Extraction—0
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark—0
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset—0
AI2D-RST: A multimodal corpus of 1000 primary school science diagrams—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