Research Area: Machine Learning
Deep learning has been overwhelmingly successful in computer vision (CV), natural language processing, and video/speech recognition. In this paper, our focus is on CV. We provide a critical review of recent achievements in terms of techniques and applications. We identify eight emerging techniques, investigate their origins and updates, and finally emphasize their applications in four key scenarios, including recognition, visual tracking, semantic segmentation, and image restoration. We recognize three development stages in the past decade and emphasize research trends for future works. The summarizations, knowledge accumulations, and creations could benefit researchers in the academia and participators in the CV industries.
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Author(s) Name: Junyi Chai, Hao Zeng, Anming Li, Eric W.T. Ngai
Journal name: Machine Learning with Applications
Conferrence name:
Publisher name: Elsevier
DOI: 10.1016/j.mlwa.2021.100134
Volume Information: Volume 6, 15 December 2021, 100134
