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Visual Question Answering

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Showing 1201–1250 of 2177 papers

TitleStatusHype
Language-Image Models with 3D Understanding—0
Language Is Not All You Need: Aligning Perception with Language Models—0
Large Scale Scene Text Verification with Guided Attention—0
Large Vision-Language Models for Remote Sensing Visual Question Answering—0
Latent Variable Models for Visual Question Answering—0
LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement—0
LAVIS: A Library for Language-Vision Intelligence—0
LCV2: An Efficient Pretraining-Free Framework for Grounded Visual Question Answering—0
Learning Answer Embeddings for Visual Question Answering—0
Learning by Asking Questions—0
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision—0
Learning Compositional Representation for Few-shot Visual Question Answering—0
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—0
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering—0
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues—0
Learning Rich Image Region Representation for Visual Question Answering—0
Learning Sparse Mixture of Experts for Visual Question Answering—0
Learning Sparsity for Effective and Efficient Music Performance Question Answering—0
Learning to Compose Diversified Prompts for Image Emotion Classification—0
Learning to Compress Contexts for Efficient Knowledge-based Visual Question Answering—0
Learning to Disambiguate by Asking Discriminative Questions—0
Neural Reasoning, Fast and Slow, for Video Question Answering—0
Learning to Recognize the Unseen Visual Predicates—0
Learning to Select Question-Relevant Relations for Visual Question Answering—0
Learning to Specialize with Knowledge Distillation for Visual Question Answering—0
Learning Visual Knowledge Memory Networks for Visual Question Answering—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models—0
LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?—0
Less Is More: Linear Layers on CLIP Features as Powerful VizWiz Model—0
Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation—0
Leveraging Medical Visual Question Answering with Supporting Facts—0
Leveraging Visual Question Answering for Image-Caption Ranking—0
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis—0
Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models—0
Lightweight In-Context Tuning for Multimodal Unified Models—0
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning—0
LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation—0
Linguistically Driven Graph Capsule Network for Visual Question Reasoning—0
Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering—0
LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing—0
利用图像描述与知识图谱增强表示的视觉问答(Exploiting Image Captions and External Knowledge as Representation Enhancement for Visual Question Answering)—0
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning—0
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding—0
LLaVA-Ultra: Large Chinese Language and Vision Assistant for Ultrasound—0
LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs—0
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling—0
Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA—0
Logically Consistent Loss for Visual Question Answering—0
LOIS: Looking Out of Instance Semantics for Visual Question Answering—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