Boundary-Aware CNN for Semantic Segmentation

Boundary-Aware CNN for Semantic Segmentation

Semantic segmentation has always been a fundamental and critical task to scene understanding. Current deep convolutional neural networks (DCNN) are able to successfully learn context from very large receptive fields due to convolutions with deep layers. However, current convolutions in DCNNs does no...

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Bibliographic Details
Main Authors: Nan Zou, Zhiyu Xiang, Yiman Chen, Shuya Chen, Chengyu Qiao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
CNN
semantic segmentation
object boundary
Online Access:https://ieeexplore.ieee.org/document/8804185/

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