SOTAVerified

Visual Reasoning

Ability to understand actions and reasoning associated with any visual images

Papers

Showing 51100 of 698 papers

TitleStatusHype
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?Code2
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMsCode2
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal ModelsCode2
PALO: A Polyglot Large Multimodal Model for 5B PeopleCode2
VCoder: Versatile Vision Encoders for Multimodal Large Language ModelsCode2
MMICL: Empowering Vision-language Model with Multi-Modal In-Context LearningCode2
3D-VisTA: Pre-trained Transformer for 3D Vision and Text AlignmentCode2
TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language ModelsCode2
Your Diffusion Model is Secretly a Zero-Shot ClassifierCode2
ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual DescriptionsCode2
X^2-VLM: All-In-One Pre-trained Model For Vision-Language TasksCode2
Visual Programming: Compositional visual reasoning without trainingCode2
When and why vision-language models behave like bags-of-words, and what to do about it?Code2
Learning Transferable Visual Models From Natural Language SupervisionCode2
VinVL: Revisiting Visual Representations in Vision-Language ModelsCode2
Learning to Compose Dynamic Tree Structures for Visual ContextsCode2
Multi-Step Visual Reasoning with Visual Tokens Scaling and VerificationCode1
ProxyThinker: Test-Time Guidance through Small Visual ReasonersCode1
DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?Code1
Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoTCode1
Reinforcing Video Reasoning with Focused ThinkingCode1
Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic TasksCode1
Visual Abstract Thinking Empowers Multimodal ReasoningCode1
SeePhys: Does Seeing Help Thinking? -- Benchmarking Vision-Based Physics ReasoningCode1
Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question AnsweringCode1
GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning ChainsCode1
Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across ModalitiesCode1
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual ReasoningCode1
ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkCode1
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Pedagogical VisualizationCode1
ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and RobustnessCode1
V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language ModelsCode1
Agentic Keyframe Search for Video Question AnsweringCode1
Interpretable Image Classification via Non-parametric Part Prototype LearningCode1
How Do Multimodal Large Language Models Handle Complex Multimodal Reasoning? Placing Them in An Extensible Escape GameCode1
PhysVLM: Enabling Visual Language Models to Understand Robotic Physical ReachabilityCode1
VisRL: Intention-Driven Visual Perception via Reinforced ReasoningCode1
Forgotten Polygons: Multimodal Large Language Models are Shape-BlindCode1
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized DataCode1
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City SpaceCode1
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?Code1
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time AlignmentCode1
ClevrSkills: Compositional Language and Visual Reasoning in RoboticsCode1
Inference Optimal VLMs Need Fewer Visual Tokens and More ParametersCode1
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban SimulationCode1
CAMEL-Bench: A Comprehensive Arabic LMM BenchmarkCode1
HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding TasksCode1
Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning TasksCode1
Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and ObjectsCode1
From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video UnderstandingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4o + CAText Score75.5Unverified
2GPT-4V (CoT, pick b/w two options)Text Score75.25Unverified
3GPT-4V (pick b/w two options)Text Score69.25Unverified
4MMICL + CoCoTText Score64.25Unverified
5GPT-4V + CoCoTText Score58.5Unverified
6OpenFlamingo + CoCoTText Score58.25Unverified
7GPT-4VText Score54.5Unverified
8FIBER (EqSim)Text Score51.5Unverified
9FIBER (finetuned, Flickr30k)Text Score51.25Unverified
10MMICL + CCoTText Score51Unverified
#ModelMetricClaimedVerifiedStatus
1BEiT-3Accuracy91.51Unverified
2X2-VLM (large)Accuracy88.7Unverified
3XFM (base)Accuracy87.6Unverified
4X2-VLM (base)Accuracy86.2Unverified
5CoCaAccuracy86.1Unverified
6VLMoAccuracy85.64Unverified
7VK-OODAccuracy84.6Unverified
8SimVLMAccuracy84.53Unverified
9X-VLM (base)Accuracy84.41Unverified
10VK-OODAccuracy83.9Unverified
#ModelMetricClaimedVerifiedStatus
1BEiT-3Accuracy92.58Unverified
2X2-VLM (large)Accuracy89.4Unverified
3XFM (base)Accuracy88.4Unverified
4X2-VLM (base)Accuracy87Unverified
5CoCaAccuracy87Unverified
6VLMoAccuracy86.86Unverified
7SimVLMAccuracy85.15Unverified
8X-VLM (base)Accuracy84.76Unverified
9BLIP-129MAccuracy83.09Unverified
10ALBEF (14M)Accuracy82.55Unverified
#ModelMetricClaimedVerifiedStatus
1AI CoreAverage-per ques.95.24Unverified
2redherringAverage-per ques.91.14Unverified
3VRDPAverage-per ques.90.24Unverified
4FightttttAverage-per ques.88.71Unverified
5neuralAverage-per ques.88.27Unverified
6NERVAverage-per ques.88.05Unverified
7DCLAverage-per ques.75.52Unverified
8troublesolverAverage-per ques.73.3Unverified
9v0.1Average-per ques.73.1Unverified
10First_testAverage-per ques.69.65Unverified
#ModelMetricClaimedVerifiedStatus
1Gemini-2.0 + CA2-Class Accuracy93.6Unverified
2GPT-4o + CA2-Class Accuracy92.8Unverified
3Human2-Class Accuracy91Unverified
4SNAIL2-Class Accuracy64Unverified
5InstructBLIP + GPT-42-Class Accuracy63.8Unverified
6BLIP-2 + ChatGPT (Fine-tuned)2-Class Accuracy63.3Unverified
7InstructBLIP + ChatGPT + Neuro-Symbolic2-Class Accuracy55.5Unverified
8ChatCaptioner + ChatGPT2-Class Accuracy49.3Unverified
9Otter2-Class Accuracy49.3Unverified
#ModelMetricClaimedVerifiedStatus
1HumansJaccard Index90Unverified
2ViLT (Zero-Shot)Jaccard Index52Unverified
3X-VLM (Zero-Shot)Jaccard Index46Unverified
4CLIP-ViT-B/32 (Zero-Shot)Jaccard Index41Unverified
5CLIP-ViT-L/14 (Zero-Shot)Jaccard Index40Unverified
6CLIP-RN50x64/14 (Zero-Shot)Jaccard Index38Unverified
7CLIP-RN50 (Zero-Shot)Jaccard Index35Unverified
8CLIP-ViL (Zero-Shot)Jaccard Index15Unverified
#ModelMetricClaimedVerifiedStatus
1LXMERTaccuracy70.1Unverified
2ViLTaccuracy69.3Unverified
3CLIP (finetuned)accuracy65.1Unverified
4CLIP (frozen)accuracy56Unverified
5VisualBERTaccuracy55.2Unverified
#ModelMetricClaimedVerifiedStatus
1RPINAUCCESS42.2Unverified
2Dec[Joint]1fAUCCESS40.3Unverified
3Dynamics-Aware DQNAUCCESS39.9Unverified
4DQNAUCCESS36.8Unverified
#ModelMetricClaimedVerifiedStatus
1RPINAUCCESS85.2Unverified
2Dynamics-Aware DQNAUCCESS85.2Unverified
3Dec[Joint]1fAUCCESS80Unverified
4DQNAUCCESS77.6Unverified
#ModelMetricClaimedVerifiedStatus
1Swin1:1 Accuracy52.9Unverified
2ConvNeXt1:1 Accuracy51.2Unverified
3ViT1:1 Accuracy50.3Unverified
4DEiT1:1 Accuracy47.2Unverified
#ModelMetricClaimedVerifiedStatus
1Humans1-of-100 Accuracy100Unverified
#ModelMetricClaimedVerifiedStatus
1VisualBERTAccuracy (Dev)67.4Unverified