MT4MTL-KD: A Multi-teacher Knowledge Distillation Framework for Triplet Recognition

Shuangchun Gui1; Zhenkun Wang2; Jixiang Chen1; Xun Zhou3; Chen Zhang4; Yi Cao4

2023-12-21

10.1109/TMI.2023.3345736

IEEE Transactions on Medical Imaging   影响因子和分区

1558-254X

Surgical activity recognition knowledge distillation multi-label image classification

SCI ; EI

英语

第一 ; 通讯

20240315386105

Classification (of information) ; Distillation ; Image classification ; Job analysis ; Semantics ; Teaching

Information Theory and Signal Processing:716.1 ; Data Processing and Image Processing:723.2 ; Chemical Operations:802.3 ; Information Sources and Analysis:903.1 ; Personnel:912.4

CLINICAL MEDICINE

人工提交

1.School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen 518055, China
2.School of System Design and Intelligent Manufacturing and the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
3.Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China
4.Department of Radiology, The Third People’s Hospital of Shenzhen, the second affiliated hospital of Southern University of Science and Technology, National Clinical Research Center for Infectious Diseases, Shenzhen 518112, China.

Shuangchun Gui,Zhenkun Wang,Jixiang Chen,et al. MT4MTL-KD: A Multi-teacher Knowledge Distillation Framework for Triplet Recognition[J]. IEEE Transactions on Medical Imaging,2023,PP(99):1-1.

Shuangchun Gui,Zhenkun Wang,Jixiang Chen,Xun Zhou,Chen Zhang,&Yi Cao.(2023).MT4MTL-KD: A Multi-teacher Knowledge Distillation Framework for Triplet Recognition.IEEE Transactions on Medical Imaging,PP(99),1-1.

Shuangchun Gui,et al."MT4MTL-KD: A Multi-teacher Knowledge Distillation Framework for Triplet Recognition".IEEE Transactions on Medical Imaging PP.99(2023):1-1.