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Visual Question Answering

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Papers

Showing 13011325 of 2177 papers

TitleStatusHype
AlignVE: Visual Entailment Recognition Based on Alignment Relations0
PromptCap: Prompt-Guided Task-Aware Image CaptioningCode1
MapQA: A Dataset for Question Answering on Choropleth MapsCode1
Visually Grounded VQA by Lattice-based RetrievalCode0
MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering0
Towards Reasoning-Aware Explainable VQA0
Visual Named Entity Linking: A New Dataset and A BaselineCode1
ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation0
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?Code0
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems0
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question AnsweringCode0
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision0
VLC-BERT: Visual Question Answering with Contextualized Commonsense KnowledgeCode1
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data0
PoseScript: Linking 3D Human Poses and Natural LanguageCode2
Image Semantic Relation Generation0
CPL: Counterfactual Prompt Learning for Vision and Language Models0
Aligning MAGMA by Few-Shot Learning and Finetuning0
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering0
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero TrainingCode0
Vision-Language Pre-training: Basics, Recent Advances, and Future TrendsCode3
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot PromptingCode1
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric ModelsCode1
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingCode1
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training ModelCode1
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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