Papers Factual Visual Question Answering
“Factual Visual Question Answering” 태그가 달린 논문 5편 · 필터 해제
Understanding Information Storage and Transfer in Multi-modal Large Language Models
Understanding the mechanisms of information storage and transfer in Transformer-based models is important for driving model understanding progress. Recent work has studied these mechanisms for Large Language Models (LLMs…
Factual Visual Question AnsweringModel EditingQuestion AnsweringVisual Question Answering+1A Survey on Interpretable Cross-modal Reasoning
In recent years, cross-modal reasoning (CMR), the process of understanding and reasoning across different modalities, has emerged as a pivotal area with applications spanning from multimedia analysis to healthcare diagno…
Cross-Modal RetrievalDecision MakingExplanation GenerationFactual Visual Question Answering+8A survey on knowledge-enhanced multimodal learning
Multimodal learning has been a field of increasing interest, aiming to combine various modalities in a single joint representation. Especially in the area of visiolinguistic (VL) learning multiple models and techniques h…
Conditional Image GenerationFactual Visual Question AnsweringFairnessImage Captioning+13Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
Accurately answering a question about a given image requires combining observations with general knowledge. While this is effortless for humans, reasoning with general knowledge remains an algorithmic challenge. To advan…
Factual Visual Question AnsweringGeneral KnowledgeQuestion AnsweringVisual Question Answering+1Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering
Question answering is an important task for autonomous agents and virtual assistants alike and was shown to support the disabled in efficiently navigating an overwhelming environment. Many existing methods focus on obser…
Factual Visual Question AnsweringGeneral KnowledgeMisconceptionsQuestion Answering+3