SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 551600 of 2177 papers

TitleStatusHype
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question AnsweringCode1
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual ConceptsCode1
Unifying Vision-and-Language Tasks via Text GenerationCode1
VisualMRC: Machine Reading Comprehension on Document ImagesCode1
TRAR: Routing the Attention Spans in Transformer for Visual Question AnsweringCode1
Pano-AVQA: Grounded Audio-Visual Question Answering on 360deg VideosCode1
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide ImagesCode1
Detecting Hate Speech in Multi-modal MemesCode1
Overcoming Language Priors with Self-supervised Learning for Visual Question AnsweringCode1
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation EmbeddingCode1
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingCode1
Just Ask: Learning to Answer Questions from Millions of Narrated VideosCode1
Point and Ask: Incorporating Pointing into Visual Question AnsweringCode1
Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-AttentionCode1
LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question AnsweringCode1
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
Learning to Contrast the Counterfactual Samples for Robust Visual Question AnsweringCode1
ConceptBert: Concept-Aware Representation for Visual Question AnsweringCode1
MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question AnsweringCode1
RUArt: A Novel Text-Centered Solution for Text-Based Visual Question AnsweringCode1
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional EntropiesCode1
Bayesian Attention ModulesCode1
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense GraphsCode1
Contrast and Classify: Training Robust VQA ModelsCode1
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal TransformersCode1
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question AnsweringCode1
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and ReportsCode1
A Dataset and Baselines for Visual Question Answering on ArtCode1
DeVLBert: Learning Deconfounded Visio-Linguistic RepresentationsCode1
Semantic Equivalent Adversarial Data Augmentation for Visual Question AnsweringCode1
Learning to Discretely Compose Reasoning Module Networks for Video CaptioningCode1
DocVQA: A Dataset for VQA on Document ImagesCode1
Ontology-guided Semantic Composition for Zero-Shot LearningCode1
Graph Optimal Transport for Cross-Domain AlignmentCode1
Sparse and Continuous Attention MechanismsCode1
Large-Scale Adversarial Training for Vision-and-Language Representation LearningCode1
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic ReasoningCode1
Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To?Code1
Attention-Based Context Aware Reasoning for Situation RecognitionCode1
Cross-Modality Relevance for Reasoning on Language and VisionCode1
COBRA: Contrastive Bi-Modal Representation AlgorithmCode1
Dynamic Language Binding in Relational Visual ReasoningCode1
Deep Multimodal Neural Architecture SearchCode1
Visual Grounding Methods for VQA are Working for the Wrong Reasons!Code1
Evaluating Multimodal Representations on Visual Semantic Textual SimilarityCode1
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal TransformersCode1
X-Linear Attention Networks for Image CaptioningCode1
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAICode1
Counterfactual Samples Synthesizing for Robust Visual Question AnsweringCode1
PathVQA: 30000+ Questions for Medical Visual Question AnsweringCode1
Show:102550
← PrevPage 12 of 44Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24Unverified
2Qwen2-VL-72BGPT-4 score74Unverified
3InternVL2.5-78BGPT-4 score72.3Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2Unverified
5Lyra-ProGPT-4 score71.4Unverified
6GLM-4V-PlusGPT-4 score71.1Unverified
7Phantom-7BGPT-4 score70.8Unverified
8InternVL2.5-38BGPT-4 score68.8Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6Unverified
10Baichuan-Omni (7B)GPT-4 score65.4Unverified