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Visual Question Answering

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Papers

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Showing 1501–1550 of 2177 papers

TitleStatusHype
Visual question answering based evaluation metrics for text-to-image generation—0
COIN: Counterfactual Image Generation for VQA Interpretation—0
CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering—0
COCO is "ALL'' You Need for Visual Instruction Fine-tuning—0
CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update—0
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning—0
Ranked from Within: Ranking Large Multimodal Models for Visual Question Answering Without Labels—0
Visual Question Answering based on Formal Logic—0
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing—0
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation—0
Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling—0
Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps—0
CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering—0
Realizing Visual Question Answering for Education: GPT-4V as a Multimodal AI—0
CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering—0
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks—0
Reasoning Over History: Context Aware Visual Dialog—0
Recent, rapid advancement in visual question answering architecture: a review—0
Reciprocal Attention Fusion for Visual Question Answering—0
Zero-Shot Visual Question Answering—0
Recurrent and Contextual Models for Visual Question Answering—0
Visual Question Answering for Cultural Heritage—0
CLIP-Powered TASS: Target-Aware Single-Stream Network for Audio-Visual Question Answering—0
WoLF: Wide-scope Large Language Model Framework for CXR Understanding—0
Reducing Hallucinations: Enhancing VQA for Flood Disaster Damage Assessment with Visual Contexts—0
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder—0
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment—0
Visual question answering: from early developments to recent advances -- a survey—0
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering—0
Visual Question Answering in Ophthalmology: A Progressive and Practical Perspective—0
CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environments—0
ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding—0
Visual Question Answering in Remote Sensing with Cross-Attention and Multimodal Information Bottleneck—0
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment—0
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering—0
Claude 3.5 Sonnet Model Card Addendum—0
Rephrasing visual questions by specifying the entropy of the answer distribution—0
Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks—0
Representing Movie Characters in Dialogues—0
Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering"—0
RepsNet: Combining Vision with Language for Automated Medical Reports—0
RescueADI: Adaptive Disaster Interpretation in Remote Sensing Images with Autonomous Agents—0
Visual Question Answering Instruction: Unlocking Multimodal Large Language Model To Domain-Specific Visual Multitasks—0
CLAMP: Contrastive LAnguage Model Prompt-tuning—0
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization—0
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge—0
VrR-VG: Refocusing Visually-Relevant Relationships—0
Retrieval-Augmented Natural Language Reasoning for Explainable Visual Question Answering—0
CIC: A Framework for Culturally-Aware Image Captioning—0
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines—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