CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation

It is still a challenging task to perform the semantic segmentation with high accuracy due to the complexity of real picture scenes. Many semantic segmentation methods based on traditional deep learning insufficiently captured the semantic and appearance information of images, which put limit on the...

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Veröffentlicht in:	IEEE access Jg. 12; S. 35844 - 35854
Hauptverfasser:	Tang, Haitong, He, Shuang, Yang, Mengduo, Lu, Xia, Yu, Qin, Liu, Kaiyue, Yan, Hongjie, Wang, Nizhuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Coding Convolution convolution operation Convolutional codes Convolutional neural networks convolutional sparse coding (CSC) Datasets Deep learning Encoding Image coding Mathematical models Multilayers Neural networks Semantic segmentation Semantics U-Net
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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