First the history and classification of deep learning are presented. This thesis also introduces the basic theory of typical deep learning models on computer
This survey offers an in-depth exploration of the DL approaches that have redefined image processing, tracing their evolution from early innovations to the
This paper presents a comprehensive literature survey on image captioning, covering research published between 2018 and 2025.
Abstract: Over the past decade, deep learning models have exhibited considerable advancements, reaching or even exceeding human-level
This research topic focuses on the practical application of deep learning models in computer vision, translating theoretical advancements into real-world
In this paper, we seek to improve the understanding of key concepts and algorithms of deep multimodal learning for the computer vision community.
Here we provide a list of surveys for deep learning applications in computer vision. Diffusion Models in Vision: Diffusion models in vision: A survey (PAMI,
In this paper, we provide a comprehensive review of recent advances in multimodal hybrid deep learning, including a thorough analysis of the most commonly