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Deep Learning-Based Frameworks for Semantic Segmentation of Road Scenes
2022
Electronics
Semantic segmentation using machine learning and computer vision techniques is one of the most popular topics in autonomous driving-related research. With the revolution of deep learning, the need for more efficient and accurate segmentation systems has increased. This paper presents a detailed review of deep learning-based frameworks used for semantic segmentation of road scenes, highlighting their architectures and tasks. It also discusses well-known standard datasets that evaluate semantic
doi:10.3390/electronics11121884
fatcat:ekykzfnqtjcbla3fh4vlwhkvgu