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Visual Question Answering

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Showing 1601–1650 of 2177 papers

TitleStatusHype
Bayesian Attention Belief Networks—0
Check It Again: Progressive Visual Question Answering via Visual EntailmentCode1
PAM: Understanding Product Images in Cross Product Category Attribute Extraction—0
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions—0
Human-Adversarial Visual Question Answering—0
Grounding Complex Navigational Instructions Using Scene Graphs—0
Semantic Aligned Multi-modal Transformer for Vision-LanguageUnderstanding: A Preliminary Study on Visual QA—0
Learning to Select Question-Relevant Relations for Visual Question Answering—0
CLEVR\_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over ImagesCode0
MIMOQA: Multimodal Input Multimodal Output Question Answering—0
EaSe: A Diagnostic Tool for VQA based on Answer DiversityCode0
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models—0
LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question AnsweringCode0
StructuralLM: Structural Pre-training for Form Understanding—0
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-TrainingCode1
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training—0
Multiple Meta-model Quantifying for Medical Visual Question AnsweringCode1
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention—0
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using CapsulesCode1
Cross-Modal Generative Augmentation for Visual Question Answering—0
Passage Retrieval for Outside-Knowledge Visual Question AnsweringCode1
Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention—0
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine LossCode0
Iterated learning for emergent systematicity in VQA—0
A survey on VQA_Datasets and Approaches—0
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads—0
Document Collection Visual Question Answering—0
InfographicVQA—0
MDETR -- Modulated Detection for End-to-End Multi-Modal UnderstandingCode1
Playing Lottery Tickets with Vision and Language—0
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question AnsweringCode1
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks—0
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention—0
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over ImagesCode0
Neuro-Symbolic VQA: A review from the perspective of AGI desiderata—0
How Transferable are Reasoning Patterns in VQA?—0
Multimodal Continuous Visual Attention Mechanisms—0
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question AnsweringCode1
Compressing Visual-linguistic Model via Knowledge Distillation—0
MMBERT: Multimodal BERT Pretraining for Improved Medical VQACode1
VisQA: X-raying Vision and Language Reasoning in TransformersCode1
`Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks—0
Towards General Purpose Vision SystemsCode1
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training—0
Are Bias Mitigation Techniques for Deep Learning Effective?Code1
Analysis on Image Set Visual Question Answering—0
Domain-robust VQA with diverse datasets and methods but no target labels—0
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder TransformersCode1
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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