论文标题
视觉和语言的多模式研究：对当前和新兴趋势的回顾
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends
论文作者
论文摘要
深度学习及其应用使有影响力的研究和发展层叠，现实世界中存在各种方式。最近，这增强了视觉和语言领域与众多应用和快节奏增长的交集的研究兴趣。在本文中，我们详细介绍了与视觉和语言方式有关的研究的最新趋势。我们在其任务配方中查看其应用程序以及如何解决与语义感知和内容产生有关的各种问题。我们还解决了特定于任务的趋势，以及他们的评估策略和即将面临的挑战。此外，我们阐明了最近在过去出现的多学科模式和见解，将该领域指导到更模块化和透明的智能系统。这项调查确定了关键趋势，吸引了维斯兰研究中的最新文献，并试图发掘该领域正在朝着的方向发展。
Deep Learning and its applications have cascaded impactful research and development with a diverse range of modalities present in the real-world data. More recently, this has enhanced research interests in the intersection of the Vision and Language arena with its numerous applications and fast-paced growth. In this paper, we present a detailed overview of the latest trends in research pertaining to visual and language modalities. We look at its applications in their task formulations and how to solve various problems related to semantic perception and content generation. We also address task-specific trends, along with their evaluation strategies and upcoming challenges. Moreover, we shed some light on multi-disciplinary patterns and insights that have emerged in the recent past, directing this field towards more modular and transparent intelligent systems. This survey identifies key trends gravitating recent literature in VisLang research and attempts to unearth directions that the field is heading towards.
