SOTAVerified

Visual Reasoning

Ability to understand actions and reasoning associated with any visual images

Papers

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Showing 301–350 of 698 papers

TitleStatusHype
Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps—0
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM—0
Can VLMs be used on videos for action recognition? LLMs are Visual Reasoning Coordinators—0
Can We Automate Diagrammatic Reasoning?—0
CAVL: Learning Contrastive and Adaptive Representations of Vision and Language—0
Chain-of-Focus: Adaptive Visual Search and Zooming for Multimodal Reasoning via RL—0
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data—0
ChartBench: A Benchmark for Complex Visual Reasoning in Charts—0
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models—0
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks—0
ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering—0
Chat2Layout: Interactive 3D Furniture Layout with a Multimodal LLM—0
Chitrarth: Bridging Vision and Language for a Billion People—0
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads—0
CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation—0
CLIP-Powered TASS: Target-Aware Single-Stream Network for Audio-Visual Question Answering—0
CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs—0
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff—0
A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMs—0
Comparing Visual Reasoning in Humans and AI—0
Comparison Visual Instruction Tuning—0
Compositional Law Parsing with Latent Random Functions—0
Continual learning on 3D point clouds with random compressed rehearsal—0
Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension—0
Co-VQA : Answering by Interactive Sub Question Sequence—0
Co-VQA : Answering by Interactive Sub Question Sequence—0
Critical Features Tracking on Triangulated Irregular Networks by a Scale-Space Method—0
Curriculum Learning for Compositional Visual Reasoning—0
DAReN: A Collaborative Approach Towards Reasoning And Disentangling—0
Multimodal Analysis Of Google Bard And GPT-Vision: Experiments In Visual Reasoning—0
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices—0
Deep Neural Networks for Visual Reasoning—0
Deep Reason: A Strong Baseline for Real-World Visual Reasoning—0
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image—0
Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA—0
Doc-CoB: Enhancing Multi-Modal Document Understanding with Visual Chain-of-Boxes Reasoning—0
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?—0
Does Structural Attention Improve Compositional Representations in Vision-Language Models?—0
Does Visual Pretraining Help End-to-End Reasoning?—0
Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR—0
Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models—0
Doxing via the Lens: Revealing Location-related Privacy Leakage on Multi-modal Large Reasoning Models—0
DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests—0
Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery—0
DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning—0
Dynamic Graph Attention for Referring Expression Comprehension—0
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language—0
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues—0
EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos—0
End-to-End Chart Summarization via Visual Chain-of-Thought in Vision-Language Models—0
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All datasetsWinogroundNLVR2 DevNLVR2 TestCLEVRERBongard-OpenWorldWinoGAViLVSRPHYRE-1B-CrossPHYRE-1B-WithinVASRIRFL: Image Recognition of Figurative LanguageNLVR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4o + CAText Score75.5—Unverified
2GPT-4V (CoT, pick b/w two options)Text Score75.25—Unverified
3GPT-4V (pick b/w two options)Text Score69.25—Unverified
4MMICL + CoCoTText Score64.25—Unverified
5GPT-4V + CoCoTText Score58.5—Unverified
6OpenFlamingo + CoCoTText Score58.25—Unverified
7GPT-4VText Score54.5—Unverified
8FIBER (EqSim)Text Score51.5—Unverified
9FIBER (finetuned, Flickr30k)Text Score51.25—Unverified
10MMICL + CCoTText Score51—Unverified
#ModelMetricClaimedVerifiedStatus
1BEiT-3Accuracy91.51—Unverified
2X2-VLM (large)Accuracy88.7—Unverified
3XFM (base)Accuracy87.6—Unverified
4X2-VLM (base)Accuracy86.2—Unverified
5CoCaAccuracy86.1—Unverified
6VLMoAccuracy85.64—Unverified
7VK-OODAccuracy84.6—Unverified
8SimVLMAccuracy84.53—Unverified
9X-VLM (base)Accuracy84.41—Unverified
10VK-OODAccuracy83.9—Unverified
#ModelMetricClaimedVerifiedStatus
1BEiT-3Accuracy92.58—Unverified
2X2-VLM (large)Accuracy89.4—Unverified
3XFM (base)Accuracy88.4—Unverified
4X2-VLM (base)Accuracy87—Unverified
5CoCaAccuracy87—Unverified
6VLMoAccuracy86.86—Unverified
7SimVLMAccuracy85.15—Unverified
8X-VLM (base)Accuracy84.76—Unverified
9BLIP-129MAccuracy83.09—Unverified
10ALBEF (14M)Accuracy82.55—Unverified
#ModelMetricClaimedVerifiedStatus
1AI CoreAverage-per ques.95.24—Unverified
2redherringAverage-per ques.91.14—Unverified
3VRDPAverage-per ques.90.24—Unverified
4FightttttAverage-per ques.88.71—Unverified
5neuralAverage-per ques.88.27—Unverified
6NERVAverage-per ques.88.05—Unverified
7DCLAverage-per ques.75.52—Unverified
8troublesolverAverage-per ques.73.3—Unverified
9v0.1Average-per ques.73.1—Unverified
10First_testAverage-per ques.69.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Gemini-2.0 + CA2-Class Accuracy93.6—Unverified
2GPT-4o + CA2-Class Accuracy92.8—Unverified
3Human2-Class Accuracy91—Unverified
4SNAIL2-Class Accuracy64—Unverified
5InstructBLIP + GPT-42-Class Accuracy63.8—Unverified
6BLIP-2 + ChatGPT (Fine-tuned)2-Class Accuracy63.3—Unverified
7InstructBLIP + ChatGPT + Neuro-Symbolic2-Class Accuracy55.5—Unverified
8ChatCaptioner + ChatGPT2-Class Accuracy49.3—Unverified
9Otter2-Class Accuracy49.3—Unverified
#ModelMetricClaimedVerifiedStatus
1HumansJaccard Index90—Unverified
2ViLT (Zero-Shot)Jaccard Index52—Unverified
3X-VLM (Zero-Shot)Jaccard Index46—Unverified
4CLIP-ViT-B/32 (Zero-Shot)Jaccard Index41—Unverified
5CLIP-ViT-L/14 (Zero-Shot)Jaccard Index40—Unverified
6CLIP-RN50x64/14 (Zero-Shot)Jaccard Index38—Unverified
7CLIP-RN50 (Zero-Shot)Jaccard Index35—Unverified
8CLIP-ViL (Zero-Shot)Jaccard Index15—Unverified
#ModelMetricClaimedVerifiedStatus
1LXMERTaccuracy70.1—Unverified
2ViLTaccuracy69.3—Unverified
3CLIP (finetuned)accuracy65.1—Unverified
4CLIP (frozen)accuracy56—Unverified
5VisualBERTaccuracy55.2—Unverified
#ModelMetricClaimedVerifiedStatus
1RPINAUCCESS42.2—Unverified
2Dec[Joint]1fAUCCESS40.3—Unverified
3Dynamics-Aware DQNAUCCESS39.9—Unverified
4DQNAUCCESS36.8—Unverified
#ModelMetricClaimedVerifiedStatus
1RPINAUCCESS85.2—Unverified
2Dynamics-Aware DQNAUCCESS85.2—Unverified
3Dec[Joint]1fAUCCESS80—Unverified
4DQNAUCCESS77.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Swin1:1 Accuracy52.9—Unverified
2ConvNeXt1:1 Accuracy51.2—Unverified
3ViT1:1 Accuracy50.3—Unverified
4DEiT1:1 Accuracy47.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Humans1-of-100 Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1VisualBERTAccuracy (Dev)67.4—Unverified