2020/10/19 by Shagun Uppal, Uppal, Shagun, Sarthak Bhagat +11
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaze Tracking and Assistive Technology #Multimodal Machine Learning Applications #Visual Attention and Saliency Detection
paper · pdf · doi:10.48550/arxiv.2010.09522
openalex publication_date 2020/10/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Deep Learning and its applications have cascaded impactful research and\ndevelopment with a diverse range of modalities present in the real-world data.\nMore recently, this has enhanced research interests in the intersection of the\nVision and Language arena with its numerous applications and fast-paced growth.\nIn this paper, we present a detailed overview of the latest trends in research\npertaining to visual and language modalities. We look at its applications in\ntheir task formulations and how to solve various problems related to semantic\nperception and content generation. We also address task-specific trends, along\nwith their evaluation strategies and upcoming challenges. Moreover, we shed\nsome light on multi-disciplinary patterns and insights that have emerged in the\nrecent past, directing this field towards more modular and transparent\nintelligent systems. This survey identifies key trends gravitating recent\nliterature in VisLang research and attempts to unearth directions that the\nfield is heading towards.\n