Your Location:
Home >
Browse articles >
Prototype-guided cross-task knowledge distillation
Regular Papers | Updated:2025-07-02
    • Prototype-guided cross-task knowledge distillation

      Enhanced Publication
    • 原型引导的跨任务知识蒸馏
    • In the field of knowledge distillation, researchers have proposed a prototype-guided cross-task knowledge distillation (ProC-KD) method. This approach transfers the teacher network's local-level object knowledge to various task scenarios, enhancing the student network's generalization ability. It provides a solution to address the challenge of different label spaces in cross-task knowledge distillation.
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 6, Pages: 912-929(2025)
    • DOI:10.1631/FITEE.2400383    

      CLC: TP391
    • Received:12 May 2024

      Revised:18 September 2024

      Published:2025-06

    Scan QR Code

  • Deng LI, Peng LI, Aming WU, et al. Prototype-guided cross-task knowledge distillation[J]. Frontiers of information technology & electronic engineering, 2025, 26(6): 912-929. DOI: 10.1631/FITEE.2400383.

  •  
  •  

0

Views

5

Downloads

0

CSCD

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Federated learning on non-IID and long-tailed data via dual-decoupling
Multi-exit self-distillation with appropriate teachers
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives
Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting
Binary neural networks for speech recognition

Related Author

Baojin WANG
Renhao HU
Jinguo LI
Hongjiao LI
Zhaohui WANG
Chun CHEN
Yan FENG
Deshi YE

Related Institution

College of Computer Science and Technology, Shanghai University of Electric Power
College of Computer Science and Technology, Zhejiang University
School of Software Technology, Zhejiang University
School of Public Affairs, Zhejiang University
Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University
0