DBGCN:Dual-branch Graph Convolutional Network for organ instance inference on sparsely labeled 3D plant dataOA
DBGCN:Dual-branch Graph Convolutional Network for organ instance inference on sparsely labeled 3D plant data
Dawei Li;Zhaoyi Zhou;Si Yang;Weiliang Wen
School of Information and Intelligent Science,Donghua University,Shanghai,201620,China||State Key Laboratory of Advanced Fiber Materials(SKLAFM),Donghua University,Shanghai,201620,China||Engineering Research Center of Digitized Textile & Fashion Technology,Ministry of Education,Donghua University,Shanghai,201620,ChinaSchool of Information and Intelligent Science,Donghua University,Shanghai,201620,ChinaInformation Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing,100097,China||Beijing Key Lab of Digital Plant,National Engineering Research Center for Information Technology in Agriculture,Beijing,100097,ChinaInformation Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing,100097,China||Beijing Key Lab of Digital Plant,National Engineering Research Center for Information Technology in Agriculture,Beijing,100097,China
Organ instance segmentationPlant point cloudPlant phenotypingTransductive learningDual-branch graph convolutional network
Organ instance segmentationPlant point cloudPlant phenotypingTransductive learningDual-branch graph convolutional network
《植物表型组学（英文）》 2026 (2)
118-135,18
This work was supported in part by the National Natural Science Foundation of China(32472001),and in part by Donghua University 2025 Cultivation Project of Discipline Innovation(xkcx-202505).
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