DOAJ Open Access 2021

Deep learning in computer vision: A critical review of emerging techniques and application scenarios

Junyi Chai Hao Zeng Anming Li Eric W.T. Ngai

Abstrak

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.

Topik & Kata Kunci

Cybernetics Electronic computers. Computer science

Penulis (4)

Junyi Chai

Hao Zeng

Anming Li

Eric W.T. Ngai

Format Sitasi

APA MLA BibTeX

Chai, J., Zeng, H., Li, A., Ngai, E.W. (2021). Deep learning in computer vision: A critical review of emerging techniques and application scenarios. https://doi.org/10.1016/j.mlwa.2021.100134

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Informasi Jurnal

Tahun Terbit: 2021
Sumber Database: DOAJ
DOI: 10.1016/j.mlwa.2021.100134
Akses: Open Access ✓