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Visual Question Answering

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Papers

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Showing 1801–1850 of 2177 papers

TitleStatusHype
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation—0
The Forgettable-Watcher Model for Video Question Answering—0
AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering—0
The Impact of Explanations on AI Competency Prediction in VQA—0
The meaning of "most" for visual question answering models—0
The Meaning of ``Most'' for Visual Question Answering Models—0
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving—0
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions—0
The Quest for Visual Understanding: A Journey Through the Evolution of Visual Question Answering—0
A Vision Centric Remote Sensing Benchmark—0
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions—0
The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA—0
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent—0
TI-JEPA: An Innovative Energy-based Joint Embedding Strategy for Text-Image Multimodal Systems—0
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization—0
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering—0
TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving—0
Auto-Parsing Network for Image Captioning and Visual Question Answering—0
A Unified Framework for Multilingual and Code-Mixed Visual Question Answering—0
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices—0
VQA-LOL: Visual Question Answering under the Lens of Logic—0
TM-PATHVQA:90000+ Textless Multilingual Questions for Medical Visual Question Answering—0
TokenFocus-VQA: Enhancing Text-to-Image Alignment with Position-Aware Focus and Multi-Perspective Aggregations on LVLMs—0
Attentive Explanations: Justifying Decisions and Pointing to the Evidence—0
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!—0
Attention Mechanism based Cognition-level Scene Understanding—0
Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering—0
Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models—0
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering—0
2nd Place Solution to the GQA Challenge 2019—0
Attention Guided Semantic Relationship Parsing for Visual Question Answering—0
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering—0
VQA Training Sets are Self-play Environments for Generating Few-shot Pools—0
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering—0
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models—0
Towards Automated Error Analysis: Learning to Characterize Errors—0
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing—0
Towards Complex Document Understanding By Discrete Reasoning—0
Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation—0
Actively Seeking and Learning from Live Data—0
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering—0
A survey on VQA_Datasets and Approaches—0
A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation—0
A Study on Multimodal and Interactive Explanations for Visual Question Answering—0
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision—0
Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture—0
Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language Models—0
AstroLLaVA: towards the unification of astronomical data and natural language—0
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering—0
VQA with Cascade of Self- and Co-Attention Blocks—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