Semantic segmentation network based on attention mechanism and feature fusion
|更新时间:2025-07-22
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Semantic segmentation network based on attention mechanism and feature fusion
“In the field of image segmentation, researchers have proposed a new method to improve the DeepLabv3+network, effectively enhancing the performance of multi-scale object segmentation, with average intersection to union ratios reaching 76.2% and 78.7%, respectively.”
Journal of Jilin University(Engineering and Technology Edition)Vol. 55, Issue 4, Pages: 1384-1395(2025)
CAI Hua,WANG Yu-yao,FU Qiang,et al.Semantic segmentation network based on attention mechanism and feature fusion[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(04):1384-1395.
CAI Hua,WANG Yu-yao,FU Qiang,et al.Semantic segmentation network based on attention mechanism and feature fusion[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(04):1384-1395. DOI: 10.13229/j.cnki.jdxbgxb.20230740.
Semantic segmentation network based on attention mechanism and feature fusion