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Visual Question Answering

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Papers

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Showing 1101–1150 of 2177 papers

TitleStatusHype
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites—0
How good are deep models in understanding the generated images?—0
How Much Can CLIP Benefit Vision-and-Language Tasks?—0
How to Design Sample and Computationally Efficient VQA Models—0
How to find a good image-text embedding for remote sensing visual question answering?—0
How Transferable are Reasoning Patterns in VQA?—0
How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey—0
How Well Can Vison-Language Models Understand Humans' Intention? An Open-ended Theory of Mind Question Evaluation Benchmark—0
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images—0
Human-Adversarial Visual Question Answering—0
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?—0
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?—0
Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification—0
Human Mobility Question Answering (Vision Paper)—0
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment—0
Hyperbolic Attention Networks—0
Hyper-dimensional computing for a visual question-answering system that is trainable end-to-end—0
Hypo3D: Exploring Hypothetical Reasoning in 3D—0
ICDAR 2019 Competition on Scene Text Visual Question Answering—0
i-Code Studio: A Configurable and Composable Framework for Integrative AI—0
ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge—0
Image Captioning with Compositional Neural Module Networks—0
Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach—0
Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models—0
Image Position Prediction in Multimodal Documents—0
Image Semantic Relation Generation—0
ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering—0
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models—0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
Improved Alignment of Modalities in Large Vision Language Models—0
Improved Baselines for Data-efficient Perceptual Augmentation of LLMs—0
Improved Bilinear Pooling with CNNs—0
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection—0
Improving Automatic VQA Evaluation Using Large Language Models—0
Improving Cross-Modal Understanding in Visual Dialog via Contrastive Learning—0
Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning—0
Improving mitosis detection on histopathology images using large vision-language models—0
Improving Multi-modal Large Language Model through Boosting Vision Capabilities—0
Improving Users' Mental Model with Attention-directed Counterfactual Edits—0
Improving Visual Question Answering by Referring to Generated Paragraph Captions—0
Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions—0
Improving VQA and its Explanations \\ by Comparing Competing Explanations—0
Incorporating External Knowledge to Answer Open-Domain Visual Questions with Dynamic Memory Networks—0
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering—0
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding—0
InfographicVQA—0
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning—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