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Visual Question Answering

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Papers

Showing 15261550 of 2177 papers

TitleStatusHype
Is GPT-3 all you need for Visual Question Answering in Cultural Heritage?0
Towards Complex Document Understanding By Discrete Reasoning0
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language ModelsCode0
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem0
Semantic-aware Modular Capsule Routing for Visual Question Answering0
OVQA: A Clinically Generated Visual Question Answering Dataset0
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task LearningCode0
VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems0
American == White in Multimodal Language-and-Image AI0
Modern Question Answering Datasets and Benchmarks: A Survey0
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering0
From Shallow to Deep: Compositional Reasoning over Graphs for Visual Question Answering0
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason ObjectivesCode0
Tell Me the Evidence? Dual Visual-Linguistic Interaction for Answer Grounding0
Grounding Answers for Visual Questions Asked by Visually Impaired People0
Test-Time Adaptation for Visual Document Understanding0
Less Is More: Linear Layers on CLIP Features as Powerful VizWiz Model0
cViL: Cross-Lingual Training of Vision-Language Models using Knowledge DistillationCode0
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering0
VL-BEiT: Generative Vision-Language Pretraining0
Structured Two-stream Attention Network for Video Question Answering0
Question Modifiers in Visual Question Answering0
Fine-tuning vs From Scratch: Do Vision & Language Models Have Similar Capabilities on Out-of-Distribution Visual Question Answering?0
Un jeu de données pour répondre à des questions visuelles à propos d’entités nommées en utilisant des bases de connaissances (ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities)0
Visual Superordinate Abstraction for Robust Concept Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24Unverified
2Qwen2-VL-72BGPT-4 score74Unverified
3InternVL2.5-78BGPT-4 score72.3Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2Unverified
5Lyra-ProGPT-4 score71.4Unverified
6GLM-4V-PlusGPT-4 score71.1Unverified
7Phantom-7BGPT-4 score70.8Unverified
8InternVL2.5-38BGPT-4 score68.8Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6Unverified
10Baichuan-Omni (7B)GPT-4 score65.4Unverified