Image Semantic Segmentation Based on Multi-Scale Feature Extraction and Fully Connected Conditional Random Fields

Yongfeng Dong; Yuxin Yang; Liqin Wang

doi:10.3788/LOP56.131007

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 13 >Page 131007 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 13, 131007 (2019)

Image Semantic Segmentation Based on Multi-Scale Feature Extraction and Fully Connected Conditional Random Fields

Yongfeng Dong^1、2, Yuxin Yang¹, and Liqin Wang^1、2、*

Author Affiliations

¹ School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China

² Hebei Provincial Key Laboratory of Big Data Computing, Tianjin 300401, China

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DOI: 10.3788/LOP56.131007 Cite this Article Set citation alerts

Yongfeng Dong, Yuxin Yang, Liqin Wang. Image Semantic Segmentation Based on Multi-Scale Feature Extraction and Fully Connected Conditional Random Fields[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131007 Copy Citation Text

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