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Visual Question Answering

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Showing 1301–1350 of 2177 papers

TitleStatusHype
MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants—0
OVQA: A Clinically Generated Visual Question Answering Dataset—0
OWLViz: An Open-World Benchmark for Visual Question Answering—0
PaLI: A Jointly-Scaled Multilingual Language-Image Model—0
PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter—0
PAM: Understanding Product Images in Cross Product Category Attribute Extraction—0
ParsVQA-Caps: A Benchmark for Visual Question Answering and Image Captioning in Persian—0
Patch-level Sounding Object Tracking for Audio-Visual Question Answering—0
Pathological Visual Question Answering—0
PAT: Parallel Attention Transformer for Visual Question Answering in Vietnamese—0
PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering—0
PDFVQA: A New Dataset for Real-World VQA on PDF Documents—0
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models—0
Performance Analysis of Traditional VQA Models Under Limited Computational Resources—0
Parameter Efficient Reinforcement Learning from Human Feedback—0
PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly—0
Physically Grounded Vision-Language Models for Robotic Manipulation—0
PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Playing Lottery Tickets with Vision and Language—0
POINTS: Improving Your Vision-language Model with Affordable Strategies—0
Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region—0
Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models—0
Predicting Relative Depth between Objects from Semantic Features—0
PreSTU: Pre-Training for Scene-Text Understanding—0
Pre-training image-language transformers for open-vocabulary tasks—0
Privacy Preserving Visual Question Answering—0
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering—0
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training—0
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training—0
Probing the Role of Positional Information in Vision-Language Models—0
Probing the Role of Positional Information in Vision-Language Models—0
Probing Visual Language Priors in VLMs—0
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data—0
Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment—0
Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models—0
Prompt-based Personalized Federated Learning for Medical Visual Question Answering—0
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3—0
Prompting Large Language Models with Rationale Heuristics for Knowledge-based Visual Question Answering—0
Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention—0
Proposing Plausible Answers for Open-ended Visual Question Answering—0
PropTest: Automatic Property Testing for Improved Visual Programming—0
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning—0
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering—0
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information—0
Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering—0
Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder—0
QIRL: Boosting Visual Question Answering via Optimized Question-Image Relation Learning—0
Question-Agnostic Attention for Visual Question Answering—0
Question-Conditioned Counterfactual Image Generation for VQA—0
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All datasetsMM-VetViP-BenchVQA v2 test-devBenchLMMMMBenchV*benchVQA v2 valMSRVTT-QAVQA v2 test-stdMMHal-BenchMSVD-QAPlotQA-D1

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