Application and Perspectives of Convolutional Neural Networks in Digital Intelligence

Review of CNN applications across object classification, segmentation, few-shot learning, reinforcement learning, and explainability.

Published

June 23, 2020

Doi

10.1007/978-3-030-63872-6_2

Published in: Advances in Intelligent Systems and Computing
DOI: 10.1007/978-3-030-63872-6_2
Link: https://link.springer.com/chapter/10.1007/978-3-030-63872-6_2

Convolutional neural networks are the state-of-the-art approach for advanced computer vision tasks, as they offer capabilities beyond the straightforward application for image processing. This review provides an introduction to five areas where convolutional neural networks are a core topic of research: 2D and 3D object classification, image segmentation, few-shot learning, reinforcement learning, and explainability of neural networks. Each section provides an introduction to the research topic, identifies the main research questions, and lists modern solutions to these problems.