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Visual Question Answering

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Papers

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Showing 1451–1500 of 2177 papers

TitleStatusHype
Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Is Multimodal Vision Supervision Beneficial to Language?Code0
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA ModelsCode0
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering—0
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images—0
Towards Models that Can See and Read—0
Curriculum Script Distillation for Multilingual Visual Question Answering—0
Adaptively Clustering Neighbor Elements for Image-Text GenerationCode0
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models—0
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-LanguageCode0
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases—0
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical KnowledgeCode0
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3—0
When are Lemons Purple? The Concept Association Bias of Vision-Language Models—0
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering—0
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language ModelsCode0
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?—0
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering—0
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge MemoryCode0
ParsVQA-Caps: A Benchmark for Visual Question Answering and Image Captioning in Persian—0
Visual Question Answering From Another Perspective: CLEVR Mental Rotation TestsCode0
Compound Tokens: Channel Fusion for Vision-Language Representation Learning—0
Optimizing Explanations by Network Canonization and Hyperparameter Search—0
PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals—0
Neuro-Symbolic Spatio-Temporal Reasoning—0
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images—0
Cross-Modal Contrastive Learning for Robust Reasoning in VQACode0
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering—0
Text-Aware Dual Routing Network for Visual Question Answering—0
AlignVE: Visual Entailment Recognition Based on Alignment Relations—0
Visually Grounded VQA by Lattice-based RetrievalCode0
MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering—0
Towards Reasoning-Aware Explainable VQA—0
ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation—0
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems—0
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question AnsweringCode0
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?Code0
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision—0
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data—0
Image Semantic Relation Generation—0
CPL: Counterfactual Prompt Learning for Vision and Language Models—0
Aligning MAGMA by Few-Shot Learning and Finetuning—0
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering—0
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero TrainingCode0
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing—0
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning—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