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Visual Question Answering

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Papers

Showing 18261850 of 2177 papers

TitleStatusHype
Attention Mechanism based Cognition-level Scene Understanding0
Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering0
Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models0
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering0
2nd Place Solution to the GQA Challenge 20190
Attention Guided Semantic Relationship Parsing for Visual Question Answering0
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering0
VQA Training Sets are Self-play Environments for Generating Few-shot Pools0
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering0
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models0
Towards Automated Error Analysis: Learning to Characterize Errors0
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing0
Towards Complex Document Understanding By Discrete Reasoning0
Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation0
Actively Seeking and Learning from Live Data0
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering0
A survey on VQA_Datasets and Approaches0
A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation0
A Study on Multimodal and Interactive Explanations for Visual Question Answering0
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision0
Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture0
Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language Models0
AstroLLaVA: towards the unification of astronomical data and natural language0
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering0
VQA with Cascade of Self- and Co-Attention Blocks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24Unverified
2Qwen2-VL-72BGPT-4 score74Unverified
3InternVL2.5-78BGPT-4 score72.3Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2Unverified
5Lyra-ProGPT-4 score71.4Unverified
6GLM-4V-PlusGPT-4 score71.1Unverified
7Phantom-7BGPT-4 score70.8Unverified
8InternVL2.5-38BGPT-4 score68.8Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6Unverified
10Baichuan-Omni (7B)GPT-4 score65.4Unverified