Semantic Segmentation Method Based on Multiscale Feature Alignment and Aggregation

Zhaozhong Xu; Li Peng; Feifei Dai

doi:10.3788/LOP212814

Journals >Laser & Optoelectronics Progress >Volume 60 >Issue 2 >Page 0215004 > Article

Laser & Optoelectronics Progress
Vol. 60, Issue 2, 0215004 (2023)

Semantic Segmentation Method Based on Multiscale Feature Alignment and Aggregation

Zhaozhong Xu¹, Li Peng^1,2,*, and Feifei Dai³

Author Affiliations

¹Engineering Research Center of Internet of Things Technology Applications, School of IoT Engineering, Jiangnan University, Wuxi 214122, Jiangsu, China

²Jiangsu Province Internet of Things Application Technology Key Construction Laboratory, Wuxi Taihu College, Wuxi 214122, Jiangsu, China

³Taizhou Product Quality and Safety Monitoring Institute, Taizhou 318000, Zhejiang, China

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DOI: 10.3788/LOP212814 Cite this Article Set citation alerts

Zhaozhong Xu, Li Peng, Feifei Dai. Semantic Segmentation Method Based on Multiscale Feature Alignment and Aggregation[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0215004 Copy Citation Text

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Article index updated: Apr. 2, 2025

Zhaozhong Xu, Li Peng, Feifei Dai. Semantic Segmentation Method Based on Multiscale Feature Alignment and Aggregation[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0215004

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