Fully Convolutional Pyramidal Networks for Semantic Segmentation

Fully Convolutional Pyramidal Networks for Semantic Segmentation

Semantic segmentation networks focus on the scene parsing of an unrestricted open scene. The typical segmentation architectures are stacks consisting of convolutional layers, which are used to extract semantic features. The feature map dimension is sharply changed at sampling units for most of netwo...

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Bibliographic Details
Main Authors: Fengxiao Li, Zourong Long, Peng He, Peng Feng, Xiaodong Guo, Xuezhi Ren, Biao Wei, Mingfu Zhao, Bin Tang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Semantic segmentation
artificial intelligence
lightweight model
KIITI data sets
Online Access:https://ieeexplore.ieee.org/document/9296254/

Internet

https://ieeexplore.ieee.org/document/9296254/

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