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Visual Question Answering

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Showing 751–800 of 2177 papers

TitleStatusHype
Curriculum Learning Effectively Improves Low Data VQA—0
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation—0
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering—0
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning—0
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses—0
CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering—0
CS-VQA: Visual Question Answering with Compressively Sensed Images—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization—0
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models—0
How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey—0
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs—0
An Empirical Evaluation of Visual Question Answering for Novel Objects—0
JEEM: Vision-Language Understanding in Four Arabic Dialects—0
How to find a good image-text embedding for remote sensing visual question answering?—0
Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering—0
iVQA: Inverse Visual Question Answering—0
How Much Can CLIP Benefit Vision-and-Language Tasks?—0
Cross-Modal Generative Augmentation for Visual Question Answering—0
Backdooring Vision-Language Models with Out-Of-Distribution Data—0
Jaeger: A Concatenation-Based Multi-Transformer VQA Model—0
Anatomy Might Be All You Need: Forecasting What to Do During Surgery—0
HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision—0
Iterated learning for emergent systematicity in VQA—0
ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention—0
Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion—0
Is GPT-3 all you need for Visual Question Answering in Cultural Heritage?—0
It Takes Two to Tango: Towards Theory of AI's Mind—0
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning—0
Inverse Visual Question Answering with Multi-Level Attentions—0
A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning—0
Crossformer: Transformer with Alternated Cross-Layer Guidance—0
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool—0
Investigating Biases in Textual Entailment Datasets—0
Hanfu-Bench: A Multimodal Benchmark on Cross-Temporal Cultural Understanding and Transcreation—0
HAMMR: HierArchical MultiModal React agents for generic VQA—0
Cross-Dataset Adaptation for Visual Question Answering—0
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites—0
How good are deep models in understanding the generated images?—0
A Vision Centric Remote Sensing Benchmark—0
An Analysis of Visual Question Answering Algorithms—0
A dataset of clinically generated visual questions and answers about radiology images—0
CROME: Cross-Modal Adapters for Efficient Multimodal LLM—0
Interpretable Visual Question Answering via Reasoning Supervision—0
How to Design Sample and Computationally Efficient VQA Models—0
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning—0
How Transferable are Reasoning Patterns in VQA?—0
CREPE: Coordinate-Aware End-to-End Document Parser—0
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision—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