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Visual Question Answering

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Papers

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Showing 1551–1600 of 2177 papers

TitleStatusHype
PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal Models—0
Retrieving Visual Facts For Few-Shot Visual Question Answering—0
Reusable Slotwise Mechanisms—0
Visual Question Answering in the Medical Domain—0
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads—0
Visual Question Answering on 360° Images—0
Revisiting Multi-Modal LLM Evaluation—0
Visual Question Answering on Image Sets—0
ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla—0
ReWind: Understanding Long Videos with Instructed Learnable Memory—0
Visual Question Answering on Multiple Remote Sensing Image Modalities—0
ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding—0
A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering—0
CHIC: Corporate Document for Visual question Answering—0
RL-CSDia: Representation Learning of Computer Science Diagrams—0
Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations—0
R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest—0
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases—0
Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets—0
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis—0
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation—0
Robotic Environmental State Recognition with Pre-Trained Vision-Language Models and Black-Box Optimization—0
Visual Question Answering Using Semantic Information from Image Descriptions—0
Characterizing Misclassifications of Deep NLP Models—0
Robustness Analysis of Visual QA Models by Basic Questions—0
Robusto-1 Dataset: Comparing Humans and VLMs on real out-of-distribution Autonomous Driving VQA from Peru—0
Robust Visual Question Answering: Datasets, Methods, and Future Challenges—0
Robust Visual Reasoning via Language Guided Neural Module Networks—0
Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset—0
Visual Question Answering (VQA) on Images with Superimposed Text—0
Abduction of Domain Relationships from Data for VQA—0
Chain of Thought Prompt Tuning in Vision Language Models—0
RS-MoE: Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering—0
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model—0
Chain of Reasoning for Visual Question Answering—0
Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning—0
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data—0
RSVQA: Visual Question Answering for Remote Sensing Data—0
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness—0
CEGI: Measuring the trade-off between efficiency and carbon emissions for SLMs and VLMs—0
Visual Question Answering with Memory-Augmented Networks—0
Visual Question Answering with Prior Class Semantics—0
CAVL: Learning Contrastive and Adaptive Representations of Vision and Language—0
Visual Question Answering with Question Representation Update (QRU)—0
SAR Strikes Back: A New Hope for RSVQA—0
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering—0
Causal Reasoning through Two Layers of Cognition for Improving Generalization in Visual Question Answering—0
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models—0
SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering—0
Categorizing Concepts With Basic Level for Vision-to-Language—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