A Hybrid Semantic Segmentation Based on Level-Set Evolution Driven by Fully Convolutional Networks

A Hybrid Semantic Segmentation Based on Level-Set Evolution Driven by Fully Convolutional Networks

Semantic segmentation network is one successful deep architecture for understanding key foregrounds. The fully convolutional networks (FCNs) can learn the regional masks by composing layered representations coarse-to-fine. Nevertheless, these increasing feature maps often fail to improve significant...

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Bibliographic Details
Main Authors: Meng Wang, Yi Ma, Fan Li, Zhengbing Guo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Semantic segmentation
geodesic active contours
level-set method
fully convolutional networks
Online Access:https://ieeexplore.ieee.org/document/9380348/

Internet

https://ieeexplore.ieee.org/document/9380348/

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