arXiv:2207.07243
LineCap: Line Charts for Data Visualization Captioning Models
원문 초록
Data visualization captions help readers understand the purpose of a visualization and are crucial for individuals with visual impairments. The prevalence of poor figure captions and the successful application of deep learning approaches to image captioning motivate the use of similar techniques for automated figure captioning. However, research in this field has been stunted by the lack of suitable datasets. We introduce LineCap, a novel figure captioning dataset of 3,528 figures, and we provide insights from curating this dataset and using end-to-end deep learning models for automated figure captioning.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Capturing Visualization Design Rationale
VIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation
Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning
ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval
토론
이 논문과 연결된 포럼 글이 아직 없습니다.