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Visual Question Answering

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Papers

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Showing 801–825 of 2177 papers

TitleStatusHype
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images—0
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models—0
TransMamba: Fast Universal Architecture Adaption from Transformers to Mamba—0
Exploring Advanced Techniques for Visual Question Answering: A Comprehensive Comparison—0
Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning—0
PitVQA++: Vector Matrix-Low-Rank Adaptation for Open-Ended Visual Question Answering in Pituitary SurgeryCode0
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models—0
"See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language Models—0
Visual Graph Question Answering with ASP and LLMs for Language Parsing—0
Abduction of Domain Relationships from Data for VQA—0
EmoAssist: Emotional Assistant for Visual Impairment Community—0
Vision-Language Models for Edge Networks: A Comprehensive Survey—0
ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical ImagesCode0
Performance Analysis of Traditional VQA Models Under Limited Computational Resources—0
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment—0
DocMIA: Document-Level Membership Inference Attacks against DocVQA ModelsCode0
Efficient Few-Shot Continual Learning in Vision-Language Models—0
No Images, No Problem: Retaining Knowledge in Continual VQA with Questions-Only MemoryCode0
Exploring Spatial Language Grounding Through Referring Expressions—0
Hypo3D: Exploring Hypothetical Reasoning in 3D—0
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving—0
Anatomy Might Be All You Need: Forecasting What to Do During Surgery—0
Large Models in Dialogue for Active Perception and Anomaly DetectionCode0
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis—0
Scene Understanding Enabled Semantic Communication with Open Channel Coding—0
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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