大数据挖掘与分析（英文版）2025，Vol.8Issue(3)：606-623,18.DOI:10.26599/BDMA.2024.9020087
Parameter Disentanglement for Diverse Representations
Parameter Disentanglement for Diverse Representations
Jingxu Wang 1Jingda Guo 2Ruili Wang 3Zhao Zhang 4Liyong Fu 5Qiaolin Ye1
作者信息
- 1. College of Information Science and Technology & Artificial Intelligence,State Key Laboratory of Tree Genetics and Breeding||Co-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037,China
- 2. Research Institute of New Technology,Hillstone Networks,Santa Clara,CA 95054,USA
- 3. School of Mathematical and Computational Sciences,Massey University,Auckland 102-904,New Zealand
- 4. Key Laboratory of Knowledge Engineering with Big Data,Ministry of Education,Hefei University of Technology,Hefei 230009,China
- 5. College of Forestry,Hebei Agricultural University,Baoding 071000,China||Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China
- 折叠
摘要
关键词
representation learning/efficient network/computer visionKey words
representation learning/efficient network/computer vision引用本文复制引用
Jingxu Wang,Jingda Guo,Ruili Wang,Zhao Zhang,Liyong Fu,Qiaolin Ye..Parameter Disentanglement for Diverse Representations[J].大数据挖掘与分析（英文版）,2025,8(3):606-623,18.基金项目
This work was supported in part by the National Key Research and Development Program(No.2022YFD2201005-03),and National Science Foundation of China(Nos.62072246 and 32371877). （No.2022YFD2201005-03）
