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Visual Question Answering

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Showing 951–1000 of 2177 papers

TitleStatusHype
GPT-4V Explorations: Mining Autonomous Driving—0
Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval—0
DLIP: Distilling Language-Image Pre-training—0
Generating Question Relevant Captions to Aid Visual Question Answering—0
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation—0
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning—0
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images—0
Language bias in Visual Question Answering: A Survey and Taxonomy—0
Goal-Oriented Semantic Communication for Wireless Visual Question Answering—0
γ-MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models—0
Language-Image Models with 3D Understanding—0
A Multimodal Social Agent—0
Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?—0
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering—0
GiVE: Guiding Visual Encoder to Perceive Overlooked Information—0
Connecting Language and Vision to Actions—0
Attentive Explanations: Justifying Decisions and Pointing to the Evidence—0
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing—0
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!—0
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing—0
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!—0
A Multimodal Memes Classification: A Survey and Open Research Issues—0
LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering—0
Compressing Visual-linguistic Model via Knowledge Distillation—0
Generic Attention-model Explainability by Weighted Relevance Accumulation—0
Do Explanations make VQA Models more Predictable to a Human?—0
Latent Variable Models for Visual Question Answering—0
Generative Visual Question Answering—0
American == White in Multimodal Language-and-Image AI—0
Abduction of Domain Relationships from Data for VQA—0
Compound Tokens: Channel Fusion for Vision-Language Representation Learning—0
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Compositional Memory for Visual Question Answering—0
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness—0
Learning Answer Embeddings for Visual Question Answering—0
Attention Mechanism based Cognition-level Scene Understanding—0
Learning by Asking Questions—0
Look, Learn and Leverage (L^3): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment—0
Learning Compositional Representation for Few-shot Visual Question Answering—0
Generating Rationales in Visual Question Answering—0
Generating Natural Questions from Images for Multimodal Assistants—0
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback—0
Attention Guided Semantic Relationship Parsing for Visual Question Answering—0
Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention—0
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—0
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge—0
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues—0
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network—0
Compositional Attention Networks for Interpretability in Natural Language Question Answering—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