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Exploring deep learning-based architecture, strategies, applications and current trends in generic object detection: A comprehensive review
Object detection is a fundamental but challenging issue in the field of generic image analysis; it plays an important role in a wide range of applications and has been receiving special attention in recent years. Although there are enomerous methods exist, an in-depth review of the literature concerning generic detection remains. This paper provides a comprehensive survey of recent advances in visual object detection with deep learning. Covering about 300 publications that we survey 1) regiondoi:10.1109/access.2020.3021508 fatcat:guri46oiejhfzeitxuuprpmjka