Idioma:

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

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

Machine learning with applications, 2021-12, Vol.6, p.100134, Article 100134 [Periódico revisado por pares]

Texto completo disponível

Citações Citado por

Título:
Deep learning in computer vision: A critical review of emerging techniques and application scenarios
Autor: Chai, Junyi ; Zeng, Hao ; Li, Anming ; Ngai, Eric W.T.
Assuntos: Computer vision ; Deep learning ; Literature review ; Machine learning
É parte de: Machine learning with applications, 2021-12, Vol.6, p.100134, Article 100134
Descrição: 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.
Editor: Elsevier Ltd
Idioma: Inglês

Voltar para lista de resultados

Anterior Resultado 6 Avançar Ir para próxima página