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Visual Question Answering

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Papers

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Showing 1851–1900 of 2177 papers

TitleStatusHype
Ontology-based knowledge representation for bone disease diagnosis: a foundation for safe and sustainable medical artificial intelligence systems—0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
Towards Models that Can See and Read—0
Active Data Curation Effectively Distills Large-Scale Multimodal Models—0
Assisting Scene Graph Generation with Self-Supervision—0
Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method—0
Towards Reasoning-Aware Explainable VQA—0
Assessing the Robustness of Visual Question Answering Models—0
Towards Semantic Equivalence of Tokenization in Multimodal LLM—0
Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering—0
Towards Transparent AI Systems: Interpreting Visual Question Answering Models—0
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers—0
Assessing Image Quality Issues for Real-World Problems—0
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?—0
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources—0
Asking questions on handwritten document collections—0
Towards Visual Dialog for Radiology—0
A Corpus for Visual Question Answering Annotated with Frame Semantic Information—0
Toward Unsupervised Realistic Visual Question Answering—0
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images—0
VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images—0
Training Recurrent Answering Units with Joint Loss Minimization for VQA—0
Transferable Adversarial Attacks on Black-Box Vision-Language Models—0
A Confidence-Based Interface for Neuro-Symbolic Visual Question Answering—0
MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph—0
Transformers in Vision: A Survey—0
Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering—0
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering—0
TransMamba: Fast Universal Architecture Adaption from Transformers to Mamba—0
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models—0
Asking More Informative Questions for Grounded Retrieval—0
Yin and Yang: Balancing and Answering Binary Visual Questions—0
TraveLLaMA: Facilitating Multi-modal Large Language Models to Understand Urban Scenes and Provide Travel Assistance—0
A Concept-Centric Approach to Multi-Modality Learning—0
Tree Memory Networks for Modelling Long-term Temporal Dependencies—0
Triplet-Aware Scene Graph Embeddings—0
Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis—0
TrojVLM: Backdoor Attack Against Vision Language Models—0
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?—0
TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering—0
TruthLens:A Training-Free Paradigm for DeepFake Detection—0
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering—0
A scoping review on multimodal deep learning in biomedical images and texts—0
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering—0
TxT: Crossmodal End-to-End Learning with Transformers—0
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training—0
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps—0
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge—0
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning—0
UIT-Saviors at MEDVQA-GI 2023: Improving Multimodal Learning with Image Enhancement for Gastrointestinal 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